Using IFNULL() on a Google SQL Interview Question StrataScratch 2026-09-18 | Using IFNULL() on a Google SQL Interview Question
5 Phrases for Talking Data Like a Boss StrataScratch 2025-09-10 | Tired of meetings filled with empty jargon like “let’s circle back” or “lots of moving parts”? 🙄This video is your antidote.You’ll learn:✅ The Data Science Rule of 3 (Outcome, Evidence, Ask) – a 15-second update formula that makes you sound sharp.✅ 5 killer replacements for the most overused phrases in meetings.✅ In-room power moves:– How to reframe trade-offs without conflict– How to push back on executives (without saying “no”)– How to park off-topic ideas without killing momentum– What to say when you don’t know the answer– How to lock decisions so meetings don’t end in “limbo”This isn’t about jargon. It’s about clean, fast decisions and communication that builds trust. 🚀🔑 Perfect for:– Data scientists & engineers– Startup founders & product managers– Anyone tired of buzzwords and wanting smarter, clearer communication in meetings👉 Drop your favorite meeting one-liner in the comments.___________________________________📚 Resources to Level Up Your Data Science Career👉 Join our channel for no-BS data science advice : bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+talks+in+data+meetings______________________________________________________________________📅 Video Timeline:0:00 – Intro0:23 – Data Science Rule of 30:44 – 5 Phrases to Retire2:40 – In-room Power Moves5:22 – Conclusion______________________________________________________________________About StrataScratch:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+talks+in+data+meetings) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+talks+in+data+meetings. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________📧 Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com._____________________________________________________________________#datascience #dataengineering #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang #trending #coding #interviewtips #interview #techhumor #ml #ai #pandas #jupyter #careerintech #datapipeline #phrases
Why Data Engineering Is Better Than Data Science (Seriously, Fight Me) StrataScratch 2025-08-13 | 🔥 Data science may be sexy… but data engineering is marriage material.In this brutally honest breakdown, we’re settling the ultimate tech debate: Why being a Data Engineer isn’t just better—it’s cleaner, faster, and way less full of lies.' From robust pipelines to dodging Schrodinger’s spaghetti code, here are 6 reasons data engineers rule the data world! 💪We'll discuss:🎯 Why most companies aren’t ready for data science (and how data engineers save the day)🎯 The chaos of data science notebooks vs. the beauty of CI/CD pipelines🎯 How data engineers build the foundation for data scientists’ “guest” work🎯 Why data engineering is just software engineering with bigger JSONs🎯 The real-world demand for skilled data engineers (unicorns, anyone?)Tech Topics Covered: Data pipelines, CI/CD, Terraform, Airflow, Kubernetes, DBT, Prometheus, Jupyter notebooks, XGBoost, and more!🔔 Like, Subscribe, and Hit the Bell for more no-nonsense tech content! If you’re a data engineer tired of cleaning up data science messes or a data scientist who feels the burn, drop a comment and let us know your thoughts! 👇💬 Which side are YOU on—data science or data engineering?___________________________________📚 Resources to Level Up Your Data Science Career👉 Join our channel for no-BS data science advice : bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+engineers+vs+data+scientists______________________________________________________________________📅 Video Timeline:0:00 –Intro: Data Science vs Data Engineering0:14 – Reason #1: Why most companies shouldn’t do data science0:48 – Reason #2: Schrodinger’s deliverables1:16 – Reason #3: CI/CD vs Notebooks2:00 – Reason #4: Who actually ships2:24 – Reason #5: Bigger JSONs, bigger problems2:57 – Reason #6: Job market reality3:39 – Conclusion______________________________________________________________________About StrataScratch:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+engineers+vs+data+scientists) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+engineers+vs+data+scientists. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________📧 Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com._____________________________________________________________________#datascience #dataengineering #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang #trending #coding #interviewtips #interview #techhumor #ml #ai #pandas #jupyter #careerintech #datapipeline
Are You Secretly Unemployable? StrataScratch 2025-07-10 | 🔥 Overqualified, Under-Interviewed, and Tired of Being Ghosted?Welcome to your brutally honest intervention: Data Science Group Therapy. If you’ve been grinding through job boards, refreshing LinkedIn, and wondering why you’re still invisible despite doing everything right—this session is for you.In this video, we’ll cover:✅ The real reason your portfolio isn’t working (and what to build instead)✅ How to stop sounding like a student and start sounding like a teammate✅ Why your GitHub, resume, and tech stack might be silently sabotaging you✅ The cold truth about cold applying — and what to do instead✅ Exact scripts and project ideas to stand out in 2025’s brutal job market📌 Like, share, and subscribe if you’re ready to stop guessing and start growing___________________________________📚 Resources to Level Up Your Data Science Career👉 Join our channel for no-BS data science advice : bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+what+no+one+tells+about+ds+interviews______________________________________________________________________📅 Video Timeline:0:00 - Intro: The symptoms0:38 - Root cause #1: Your projects look academic1:37 - Root cause #2: Don't translate your stack - mirror their2:18 - Root cause #3: Your resume looks fake4:03 - Root cause #4: Your GitHub looks like homework4:37 - Root cause #5: You're playing the resume lottery5:16 - Conclusion______________________________________________________________________About StrataScratch:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+what+no+one+tells+about+ds+interviews) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+what+no+one+tells+about+ds+interviews. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________📧 Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com._____________________________________________________________________#datascience #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang #trending #coding #interviewtips #interview
this spreadsheet tried to end me (but i had a plan) StrataScratch 2025-07-06 | 😱 Stuck in spreadsheet chaos? We’ve been there. See how to fight back with simple, smart fixes.⚡Ready to level up? Check out stratascratch.com to sharpen your data skills.#data #datascience #datascientists #dataanalysis #ranking #tierlist #ranked #frameworks #coding #comedy #comedyvideo #memes #trending #python #reddit #trending #team #technical #excel #exceltips #spreadsheets
The AI Boom Is a Ponzi Scheme StrataScratch 2025-06-18 | 🔥 Is AI really making your life easier or just making work feel dumb and meaningless? In this video, we dive into the AI hype bubble, why it’s inflating fast, and why most of the tools, jobs, and startups in this space won’t survive the coming crash. From ghost dashboards to Slack summarizers for Slack summarizers, the AI industry is in a frenzy, and many data scientists, ML engineers, and builders are starting to question: What are we really doing here?Key topics covered:✅ Why the AI bubble is dangerously similar to the dot-com bubble✅ Signs the AI market correction is already starting✅ Why data scientists are becoming API wrappers, not problem solvers✅ What you can actually do to survive the AI crash✅ How to build meaningful, long-lasting systems instead of chasing hypeWhether you're a data scientist, ML engineer, founder, or just curious about where AI is headed, this video will challenge how you think about your work, your career, and the future of the industry.💬 Drop your thoughts in the comments:Is AI making your job easier, or just... dumber?📢 Subscribe for more honest takes on AI, data science, and tech industry trends.___________________________________🔗 Resources to Level Up Your Data Science Game:👉 Join our channel for no-BS data science advice : bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ai+is+ponzi+scheme______________________________________________________________________📅 Video Timeline:0:00 - Intro: The AI bubble is real0:30 - How to spot the BS1:18 - The correction is coming2:07 - What actually survives2:47 - We urgently need to redefine productivity4:24 - Tired of AI______________________________________________________________________About StrataScratch:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ai+is+ponzi+scheme) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ai+is+ponzi+scheme. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________📧 Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com._____________________________________________________________________#ai #machinelearning #aijobs #chatgpt #aitechnology #DataScience #AICrash #MLengineering #TechTrends #FutureOfWork #AIBubbleBurst #sql #python #deeplearning
what if your data team holding you back? StrataScratch 2025-06-05 | is your data team a mess? 😱 We’re EXPOSING every red flag killing your data science game.⚡ check stratascratch.com for elite insights & CRUSH it! ⚡#data #datascience #datascientists #dataanalysis #ranking #tierlist #ranked #frameworks #coding #comedy #comedyvideo #memes #trending #python #reddit #trending #redflags #greenflag #team #tech
Are Math Degrees Still Relevant? StrataScratch 2025-05-22 | Think memorizing 47 theorems or mastering matrix math will get you a data science or machine learning engineer job? Think again. Welcome to Data Science Interview Therapy, where we debunk myths and share exactly what you need to ace your data science interview—without losing your sanity.🧠 What You’ll Actually Learn:1. The 4 core topics you really need2. Why your ability to explain PCA in human words matters more than your PhD thesis3. How to prep smart (not masochistically) if you’ve got a life and a job4. The #1 mistake to avoid: showing off math you can’t explain💬 Drop your favorite theorem or most cursed interview question in the comments!👍 Like, 💬 comment, and 🔔 subscribe for more honest tips (with less stress) about working in data.___________________________________🔗 Resources to Level Up Your Data Science Game:👉 Join our channel for no-BS data science advice : bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree______________________________________________________________________📅 Video Timeline:0:00 - Intro: Why Your Math Degree Isn’t Enough0:21 - The Truth About Data Science Interviews0:42 - 4 Core Topics You Need to Master1:32 - What’s Overkill (Stop Wasting Time!)2:13 - Unpopular Opinions on Data Science Prep2:38 - The Ultimate Preparation Plan3:26 - How to Prep Smart, Not Masochistic______________________________________________________________________About StrataScratch:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________📧 Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com._____________________________________________________________________#datascience #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang
I Automated My Job… Excel Ruined Everything! StrataScratch 2025-04-30 | It’s 2025. You’ve automated workflows, styled dashboards in Plotly, and whispered to Python like a pro. So why are you still exporting everything to Excel?Because Excel is not a tool. It’s a belief system. 🧠In this Data Science Therapy video, we unpack the psychological warfare of data teams vs. Excel-obsessed execs, and offer real coping strategies for anyone who’s ever had their dashboard exported to death.🔧 Tips you'll get:How to automate behind the scenes and fake it with ExcelHow to win over stubborn stakeholders (yes, even Cheryl)How to survive Excel trauma with your dignity (mostly) intact💬 Drop your most cursed Excel horror story in the comments!👍 Like, 💬 comment, and 🔔 subscribe for more workplace therapy disguised as data content.___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+therapy+excel______________________________________________________________________Timeline:0:00 - Intro0:44 - Let's start with the trauma1:26 -The Excel Cult1:53 - Why Python isn't enough2:24 - Coping mechanisms2:43 - The "dashboard delusion"3:02 - Playing the long game3:20 - Final words______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+therapy+excel) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+therapy+excel. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com_____________________________________________________________________#excel #datascience #humor #pythonvsexcel #datastruggles #automation #dataanalysis #python #excel #datascienceprojects #coding #programming #programminglife #machinelearning #artificialintelligence #dataanalysis #datavisualization #bigdata #techtutorials #learntocode2025 #softwaredevelopment #dataengineering #ai #codinglife #programmingtutorials #dataanalytics #pythonprogramming #tech #codenewbie #memes
God-Tier Data Science Frameworks… or Total Flops? #coding #frameworks #technology StrataScratch 2025-04-29 | 2025’s top data science frameworks: god-tier or utter trash? We’re calling out the flops—dare to disagree?⚡ Level up the fun at stratascratch.com ⚡#data #datascience #datascientists #dataanalysis #ranking #tierlist #ranked #frameworks #coding #comedy #comedyvideo
The Biggest Lie in Data Science: You Need to Build an App StrataScratch 2025-04-03 | Are you a data scientist struggling to build web apps? You're likely using the WRONG framework! Forget the hype around Streamlit as the ONLY answer. This video dives deep into the REALITY of web app development for data scientists and engineers, exposing the bad advice and poor framework choices that lead to frustration.🔥 Which framework is actually right for you?◉ S-Tier: Need a quick app? Streamlit (but beware of its limits).◉ A-Tier: Want more control? Dash or FastHTML might be better.◉ B-Tier: Serious production apps? FastAPI + React (if you don’t mind suffering).◉ C-Tier & Below: If you love debugging obscure tech.Stop wasting time on the wrong tools! Watch as we break down the pros, cons, and pain points of popular web frameworks for data scientists—no sugarcoating.Key Takeaways:◉ Most data scientists DON'T actually want to build full web apps.◉ Stop struggling with CSS in Dash or endless reloads in Streamlit for complex applications.◉ Understand the different tiers of frameworks and choose wisely based on your REAL needs.◉ Consider data presentation tools before jumping into web development.◉ Sometimes, the best solution is to tell your company to hire a web developer!💬 What framework do you love or hate? Let me know in the comments below! ___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+biggest+lie+in+ds______________________________________________________________________Timeline:0:00 - Intro0:29 - The Fantacy vs. the reality1:23 -The tier list (S-tier)1:59 - A-tier2:33 - B-tier3:08 - C-tier3:34 - D-tier4:16 - Niche5:46 - Final verdict______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+biggest+lie+in+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+biggest+lie+in+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com_____________________________________________________________________#datascience #webdevelopment #streamlit #dash #fastapi #react #python #rshiny #dataengineering #machinelearning #coding #programming #frameworks #tutorial #tech #developer #buildwebapp #datavisualization
Data Science is Dead. Again. StrataScratch 2025-02-26 | The data science job market is oversaturated, making it harder than ever to stand out. Bootcamps promise high-paying roles, but many struggle to secure jobs as companies automate tasks and raise hiring standards.Why It’s So Hard to Get Hired◉ Too many candidates with the same Python, SQL, and Pandas skills◉ "Entry-level" jobs now require 2-3 years of experience◉ Companies prioritize automation over junior hiresHow to Stand Out◉ Specialize – Focus on ML Ops, Data Engineering, or advanced analytics◉ Build Real Projects – Move beyond generic datasets◉ Master Communication – Clearly explain your work in interviews◉ Consider Alternative Roles – BI, software development, or analytics may be better fitsWatch now to learn how to navigate the evolving data science job market!___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+you+killed+ds+job+market👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+you+killed+ds+job+market______________________________________________________________________Timeline:0:00 - Intro0:59 - The Bootcamp-to-Unemployment pipeline1:36 - How we killed the job market2:40 - Reality of "Entry-Level" jobs3:13 - The fallout3:36 - How to fix this mess4:25 - Conclusion______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+you+killed+ds+job+market) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+you+killed+ds+job+market. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience #datasciencejobs #datasciencecareer #datascientist #techjobs #datascienceforbeginners #datasciencetips #techlayoffs #techjobs #aijob
Theres No Such Thing as an ML Job StrataScratch 2025-02-07 | This video reveals the unspoken reality of most ML roles and how to actually get to do the ML you love. Many ML jobs are more data engineering than model training. We'll explore why companies prioritize simplicity and explainability over complex algorithms, and what skills you really need to thrive in these roles:◉ SQL: Master the art of data extraction and cleaning.◉ Data Engineering Tools: Learn Airflow, Kafka, and ETL processes.◉ Scripting & Automation: Python, Pandas, Bash, and Luigi will be your allies.◉ Cloud Platforms: AWS, GCP, and Azure are essential.Feeling stuck in a data-heavy role? We'll cover two paths to transition into more ML-focused work:◉ Internal Transition: How to convince your boss to incorporate ML into your projects, build demos (Streamlit, Gradio), and collaborate with other teams.◉ External Transition: Targeting ML-first companies (OpenAI, Anthropic), building a strong portfolio (GitHub, Kaggle, StrataScratch), and upskilling in research-oriented ML (TensorFlow, PyTorch, Transformers, Reinforcement Learning). We'll discuss project ideas like laptop price prediction, stock price prediction, keyword detection, and more!Data engineering is the foundation of ML. Mastering these skills will make you indispensable and prepare you for the ML roles you crave. This video will give you the real-world insights you need to navigate the ML landscape.Like and subscribe for more practical advice on machine learning and data science!___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+such+thing+as+ml+job👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+such+thing+as+ml+job______________________________________________________________________Timeline:0:00 - Intro0:21 - The mirage of the ML job0:46 - Why actual ML is rare1:17 - What skills do you need2:02 - Transitioning to Real ML2:15 - How to transition to ML internally2:54 - How to transition to ML externally3:47 - Conclusion ______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+such+thing+as+ml+job) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+such+thing+as+ml+job. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#machinelearning #mle #dataengineering #datascience #career #jobsearch #sql #python #cloudcomputing #ai #artificialintelligence #machinelearningengineer
LLM Deep Dive: Practitioner vs. Researcher Path (Which Ones For You?) StrataScratch 2025-01-08 | Tired of LLM overwhelm? This video cuts through the noise and provides a clear roadmap for your large language models journey.Choose your path:◉ Practitioner: Focus on applications, fine-tuning, prompt engineering, and building real-world AI systems. Learn key libraries like LangChain and Hugging Face, leverage OpenAI/Cohere APIs, and master Retrieval Augmented Generation (RAG).Projects for practitioners:• Cold Email Generator with Llama 3.1 (youtube.com/watch?v=CO4E_9V6li0)• Conversational Agent (https://pub.aimind.so/build-and-deploy-your-first-conversational-document-retrieval-agent-using-langchain-and-streamlit-aaa1ae852b96)• Advanced Hybrid Search (github.com/Rman410/hybrid-search/tree/main)◉ Researcher: Delve into the internals of LLMs. Explore foundational papers like "Attention is All You Need," build your own mini-Transformer, and master advanced fine-tuning techniques like Lora and PEFT.Essential LLM papers:• Attention Is All You Need (arxiv.org/pdf/1706.03762)• Language Models are Few-Shot Learners (arxiv.org/abs/2005.14165)• Scaling Laws for Neural Language Models (arxiv.org/abs/2001.08361)Projects for researchers:• Implementing Transformers From Scratch Using PyTorch (kaggle.com/code/arunmohan003/transformer-from-scratch-using-pytorch)• Byte Pair Encoding (github.com/teleprint-me/byte-pair/blob/main/README.md) - Paper: Neural Machine Translation of Rare Words with Subword Units (arxiv.org/abs/1508.07909v5) - Lei Mao’s Tutorial: Byte Pair Encoding (leimao.github.io/blog/Byte-Pair-Encoding)• LLM Fine-Tuning (github.com/roy-sub/LLM-FineTuning)This video includes:◉ Practical advice: Project ideas, tool recommendations, and actionable steps for both paths.◉ Key concepts: Prompt engineering, RAG, fine-tuning, transformers, attention mechanisms, and more.◉ Expert insights: Tips for navigating the LLM landscape and avoiding common pitfalls.Watch now and start your LLM journey with confidence!___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+llm+deep+dive👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+llm+deep+dive______________________________________________________________________Timeline:Intro: (0:00)Practitioner vs. Researcher: (0:13)The practitioner path: (0:44)The researcher path: (3:40)What you should do today: (5:43)LLM craze is overhyped: (8:34)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+llm+deep+dive) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+llm+deep+dive. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#LLM #LargeLanguageModels #DeepLearning #MachineLearning #AI #ArtificialIntelligence ##DataScience #Developer #DataEngineering #DataAnalyst
AI Proof Your Data Science Career With These 4 Skills StrataScratch 2024-12-04 | Is AI coming to take your job? 🤖 Don't worry, humans! While AI is rapidly advancing, there are certain data skills that will always require human ingenuity.In this video, we dive deep into the future-proof data skills that AI can't fully automate:◉ Domain Expertise and SQL Mastery: Learn how to leverage AI to enhance your SQL skills and extract valuable insights from complex data.◉ Data Quality Assurance: Discover the importance of human oversight in maintaining data accuracy and consistency.◉ Mathematical Optimization and Model Interpretation: Understand how to use AI as a tool to optimize solutions and interpret model outputs.By mastering these skills, you can not only future-proof your data career but also become an indispensable asset in the age of AI.___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+career+with+4+skills👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+career+with+4+skills______________________________________________________________________Timeline:Intro: (0:00)Use your domain knowledge: (0:35)AI need your expertise: (1:46)Optimize their optimization: (2:56)AI can help, but humans are needed: (4:08)Conclusion: (5:22)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+career+with+4+skills) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+career+with+4+skills. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#AI #DataScience #MachineLearning #DataEngineering #DataAnalyst #FutureOfWork #TechTrends #datascienceskills #datasciencecareer
Here are some ridiculous expectations for Machine Learning interviews StrataScratch 2024-10-30 | Are you dreaming of a high-paying machine learning career? Think again. Today we'll expose the harsh reality of machine learning interviews. Let's dive deep into the absurd expectations, ridiculous questions, and the overwhelming pressure to be a multi-skilled pro.Learn about:◉ The unrealistic expectations: Data structures, algorithms, deep learning, and DevOps, what skills are really required?◉ The absurd interview process: Ridiculous coding challenges, unclear theory questions, and the constant pressure to perform.◉ The salary vs. skill gap: Are you getting paid what you're worth?◉ The role confusion: Are they hiring ML engineers or data scientists? Or maybe something in between?If you're considering a career in machine learning, watch this video to learn the hard truths and make informed decisions.___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ridiculous+expectations+for+ml+interviews👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ridiculous+expectations+for+ml+interviews______________________________________________________________________Timeline:Intro: (0:00)List of Expectations: (0:28)Interview Challenges: (1:26)The Absurdity of Specialization: (2:05)Machine Learning Role Confusion: (3:04)SQL Paradox: (3:29)Conclusion: (4:17)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ridiculous+expectations+for+ml+interviews) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ridiculous+expectations+for+ml+interviews. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#machinelearning #ML #deeplearning #datascience #datasciencecareer #interviewtips #techcareer #IT #datascienceinterview
Try these 5 Python libraries to simplify data visualization StrataScratch 2024-10-16 | Tired of Matplotlib's outdated approach? Discover these 5 powerful Python libraries that offer cleaner, more intuitive, and often more interactive ways to visualize your data. Learn about:◉ Plotly: For interactive and web-ready visualizations with minimal configuration.◉ Seaborn: A statistical extension for Matplotlib that simplifies complex plots.◉ Vega-Altair: A declarative grammar-based library for simple and scalable visualizations.◉ Bokeh: Ideal for web-optimized visualizations of large datasets.◉ Plotnine: A Python equivalent to ggplot2 for R users.___________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+for+data+visualization👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+for+data+visualization______________________________________________________________________Timeline:Matplotlib is Garbage: (0:00)Plotly – Interactive and Web-Ready Visualization: (0:55)Seaborn – Matplotlib's Statistical Extension: (1:37)Vega-Altair – Declarative, Grammar-Based Visualization: (2:20)Bokeh – Web-Optimized for Large Datasets: (3:00)Plotnine – Python’s Answer to ggplot2: (4:09)Conclusion: (4:41)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+for+data+visualization) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+for+data+visualization. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#pythonlibraries #DataVisualization #python #Matplotlib #Plotly #Seaborn #Altair #Bokeh #Plot9 #datascience #pythonprogramming
Hiring Biases EXPOSED in Data Science Roles StrataScratch 2024-10-02 | Are you a data scientist looking to land your dream job? In this video, we dive deep into the most common biases that can cloud your judgment in data science hiring. From prestige bias to experience bias, we explore the pitfalls and offer practical tips to ensure a fair and effective hiring process.Key takeaways:◉ Prestige Bias: Don't be fooled by fancy degrees; focus on real-world experience.◉ Domain Knowledge Bias: A strong understanding of business problems is essential.◉ Experience Bias: Adaptability and a willingness to learn are equally important.◉ Fancy Tool Bias: Prioritize problem-solving skills over tool expertise.◉ Enthusiasm Bias: Enthusiasm and critical thinking can coexist.◉ Software Engineer or Bust Bias: Data science is a specialized skill.◉ Project Portfolio Bias: Quality over quantity is key. ______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+hiring+biases+exposed👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+hiring+biases+exposed______________________________________________________________________Timeline:Intro: (0:00)Prestige Bias: (0:11)Domain Knowledge Bias: (0:45) Experience Bias: (1:43) Fancy Tool Bias: (2:31) Bias Against Enthusiasm: (3:07)Software Engineer or Bust Bias: (3:47)Project Portfolio Bias (4:47)Conclusion: (4:48)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+hiring+biases+exposed) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+hiring+biases+exposed. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#DataScienceCareer #DataScience #DataAnalyst #PortfolioTips #datasciencejobs
Dating Your Data Science Team - things to look for when working on a team StrataScratch 2024-09-18 | Tired of data science teams that underdeliver and overpromise? Discover the red flags that can ruin your data science projects and the green flags that signal a thriving partnership. Learn how to avoid common pitfalls and find the perfect data science team for your business.Key Takeaways:◉ Red Flags: Ignoring software engineering practices, neglecting model validation, unclear business alignment, chaotic team structure, and lack of end-to-end involvement.◉ Green Flags: Strong software engineering practices, rigorous model validation, clear business impact, diverse and collaborative teams, and a focus on simple, effective solutions.◉ Build a successful data science team: Identify the red flags to avoid, prioritize green flags, and foster a positive team culture.______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team______________________________________________________________________Timeline:Intro: (0:00)Red Flags: (0:17)Green Flags: (3:15) Conclusion: (5:36)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+things+to+look+for+in+ds+team. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceprojects #DataScience #DataAnalyst #PortfolioTips #DataScienceJobs #DataScienceCareer #DataScience #RedFlags #GreenFlags #CareerAdvice #TechTips
Top 5 Challenges Data Scientists Face Today StrataScratch 2024-09-04 | Are you a data scientist grappling with the challenges of your field? In this video, we dive deep into the top 5 hurdles that data scientists encounter daily. From dealing with messy data and communicating insights to non-technical executives to staying updated with rapidly evolving technology, these challenges are universal.Discover practical tips and strategies to overcome these obstacles and excel in your data science career. Don't miss this insightful discussion on the realities of being a data scientist.______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face______________________________________________________________________Timeline:Intro: (0:00)Challenge #1: Cleaning bad-quality data: (0:20)Challenge #2: Providing valuable insights: (1:04) Challenge #3: Not letting data privacy kill your workflow: (2:00)Challenge #4: Keeping up with rapid changes: (3:10) Challenge #5: Interdisciplinary collaboration: (3:53) Conclusion: (4:53)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#DataScience #datacleaning #DataAnalyst #dataanalytics #datasciencecareer #datascientist
Impress Recruiters With These Data Science Projects StrataScratch 2024-08-21 | Are you a budding data scientist or data analyst looking to showcase your skills? This video offers essential tips for presenting your work to recruiters effectively! 🌟In this video, you'll learn:◉ Create a Professional Portfolio Website: Discover how a clean and organized website can effectively host your projects, featuring detailed write-ups, code snippets, and engaging visualizations that recruiters will love.◉ Organize Your GitHub Repositories: Learn the importance of well-documented GitHub repos, including README files with project descriptions and installation instructions. Show that you pay attention to detail!◉ Write Blogs and Articles: Find out how sharing insights and challenges on platforms like Medium or LinkedIn can enhance your online presence and communication skills while contributing to the data science community.Personal projects are crucial for demonstrating your passion and capabilities. Focus on real-world applications, engage in open-source contributions, and align your projects with your interests. Presenting your work professionally is key!If you found these tips helpful, please give this video a thumbs up 👍 and subscribe for more valuable content on data science and analytics! We’d love to hear about your projects or any you’re planning to start in the comments below.______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+recruiters+with+ds+projects👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+recruiters+with+ds+projects______________________________________________________________________Timeline:Intro: (0:00)Why personal projects are important: (0:20)Types of projects to choose: (0:32) Presenting your projects: (7:45) Conclusion: (8:39)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+recruiters+with+ds+projects) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+recruiters+with+ds+projects. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceprojects #DataScience #DataAnalyst #PortfolioTips #datasciencejobs #GitHub #JobSearch #DataScienceCareer
How to Use ChatGPT in Your Data Science Workflow StrataScratch 2024-08-07 | Boost your data science productivity with ChatGPT! Learn how to leverage AI to automate tasks, from data retrieval and cleaning to analysis, visualization, and model building. Discover practical tips and tricks to streamline your workflow and achieve better results. This video covers:◉ SQL query generation with ChatGPT and integration with popular databases◉ Automated data cleaning using ChatGPT and Python scripts◉ Generating insights and summaries directly from your data◉ Creating stunning visualizations with ChatGPT and Python libraries◉ Brainstorming model features for enhanced model performance◉ Efficient code debugging and optimization with ChatGPT's assistance◉ Automating documentation for better project managementMaster ChatGPT for data science today! ______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+in+ds+workflow______________________________________________________________________Timeline:Intro: (0:00)Hack #1 - Retrieving Data: (0:17)Hack #2 - Automate Data Cleaning: (1:00)Hack #3 - Generate Insights and Summaries: (1:44) Hack #4 - Data Visualization: (2:39) Hack #5 - Brainstorm Model Features: (3:39)Hack #6 - Code Debugging and Optimization: (4:11)Hack #7 - Automate Documentation: (4:48)Conclusion: (5:32)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+in+ds+workflow) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+in+ds+workflow. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience #chatgpt #ai #dataanalytics #dataanalysis #dataanalyst #datascienceskills
Clean your data with these 8 python libraries StrataScratch 2024-07-24 | In this video, we dive deep into the world of data cleaning with Python libraries. Clean data is crucial for accurate data analysis and powerful machine-learning models. We'll explore 8 essential libraries that'll help you to clean up your data:◉ Pandas: The data manipulation powerhouse for wrangling tabular data. ◉ NumPy: The foundation for numerical computations and array operations. ◉ SciPy: Extends NumPy's functionalities for advanced data cleaning tasks. 🪄◉ PyJanitor: Streamlines data cleaning workflows built on top of Pandas. ⚡◉ Dataprep: Accelerates data preparation with cleaning, wrangling, and exploration tools. ️◉ Great Expectations: Ensures data quality through validation, testing, and documentation. ️◉ Pandera: Maintains data integrity and consistency with data schemas and validation. ◉ Dask: Scales data cleaning tasks for massive datasets using parallel computing. Want more data science resources? Visit stratascratch.com_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+to+clean+data______________________________________________________________________Timeline:Intro: (0:00)Why data cleaning is so important: (0:22)Pandas: (0:44)NumPy: (1:56)SciPy: (3:07)PyJanitor: (4:29)Dataprep: (5:30)Great Expectations: (6:12)Pandera: (6:49)Dask: (7:27)Conclusion: (8:20)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+to+clean+data) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+libraries+to+clean+data. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________ #DataCleanUp #datacleaning #datascience #python #dataanalysis #machinelearning #pythonlibraries #dataanalytics
Using visualizations for your exploratory data analysis StrataScratch 2024-07-10 | Tired of staring at rows of numbers? This video dives deep into using visualizations for EDA, a crucial step to clean and prepare your data. We'll explore:◉ What EDA is and why it matters◉ The magic of visualizations in EDA (scatter plots, histograms, box plots, bar charts, heat maps)◉ Popular visualization tools (Python libraries, R packages, interactive dashboards)◉ Pro tips for creating impactful visualizationsLet your data tell its story! Subscribe for more data science tips! Hit the bell icon to stay notified! Check out stratascratch.com for data science resources!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualizations+for+eda______________________________________________________________________Timeline:Intro: (0:00)What is exploratory data analysis: (0:18)Why visualizations are crucial: (0:35)Types of visualization for EDA: (0:51)Tools for creating visualizations: (2:54)Practical tips for effective visualization: (3:19)Conclusion: (3:43)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualizations+for+eda) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualizations+for+eda. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#dataanalysis #eda #exploratorydataanalysis #datascience #visualizationtechnique #datavisualization
Data Science Degrees vs. Certification Courses: Which is Right for You? StrataScratch 2024-06-26 | Want to break into the booming field of data science? This video explores the pros and cons of a data science degree vs. certification course to help you decide the best path for your goals. In this video, you'll learn:◉ The pros and cons of data science degrees: Gain in-depth knowledge, network with professionals, and get recognized by employers, but take longer and cost more.◉ The pros and cons of data science certification courses: More flexible, affordable, and practical, but less comprehensive and may not hold the same weight with employers.◉ How to choose the right path based on your career goals and circumstances.Whether you're a career changer or looking to upskill, this video will help you make an informed decision. Looking for more data science resources? Check out stratascratch.com!Like this video? Hit the thumbs up and subscribe for more!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+degree+vs+certification______________________________________________________________________Timeline:Intro: (0:00)The rise of data science: (0:15)The case for degrees: (0:39)Advantages of degrees: (1:08)Networking opportunities: (1:32)Research opportunities: (1:49)Recognition: (2:09)The case for courses: (2:32)Advantages of courses: (3:03)Practical skills: (3:45)Rapid learning: (4:05)Degree vs Courses: (4:29)Conclusion: (4:50)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+degree+vs+certification) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+degree+vs+certification. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience #datasciencedegree #datasciencecertification #careerdevelopment #datascientist
Top Data Analyst Tools: From Beginner to Pro [Ultimate Guide] StrataScratch 2024-06-12 | Struggling to keep up with the ever-growing data analyst toolkit? This video dives into essential tools for data analysts, from project management to data cleaning, coding, visualization & more. Learn everything you need to excel in your data analytics career, whether you're a beginner or looking to upskill.We'll cover everything from:◉ Project Management: Jira, Trello, Confluence◉ Brainstorming & Mind Mapping: Miro, MindMeister◉ Databases & SQL: SQL, MongoDB, Cassandra◉ Data Gathering: APIs, BeautifulSoup, Scrapy, Octoparse◉ Data Integration: Talend, Apache Nifi, Microsoft Power Automate◉ Data Cleaning: OpenRefine◉ Data Analysis & Visualization: Excel, Google Sheets, Python, R, Pandas, NumPy, ggplot2, Jupyter Notebooks◉ Web Analytics: Google Analytics◉ Statistical Analysis: SAS, SPSS◉ ETL Tools: Apache Spark, Informatica, Alteryx◉ Data Visualization: Tableau, Power BI, Looker Studio, ClickView◉ Presentation Tools: PowerPoint, Google Slides, Canva◉ Data Documentation: Jupyter Notebooks, R Markdown, Google Docs, GithubMaster these tools and unlock a world of data-driven opportunities! Like this video? Thumbs up, share, and comment below! Subscribe for more data analytics content!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+top+da+tools______________________________________________________________________Timeline:Intro: (0:00)What Do Data Analysts Do: (0:19)Requirement-gathering Tools: (0:46)Brainstorming Tools: (1:10)Data Collection & Management: (1:30)Data Cleaning & Analysis : (2:56)Data Visualization Tools: (4:40)Presentation Tools: (5:14)Documentation Tools: (5:30)Conclusion: (6:02)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+top+da+tools) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+top+da+tools. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#dataanalysistools #datascience #machinelearning #bigdata #datavisualization #datascienceskills #datascientist #dataanalysis #dataanalytics #datatools
Full stack data science tools StrataScratch 2024-05-29 | In this video, we dive deep into the essential tools that empower data scientists to unlock the secrets of data. Learn about:◉ Databases: SQL vs NoSQL, Cloud Storage Options◉ Coding Editors: Jupyter Notebooks, PyCharm, RStudio & More!◉ Big Data Processing: Hadoop, Spark, Stream Processing Tools◉ Data Visualization:Tableau, Power BI, Interactive Options◉ Machine Learning Tools: TensorFlow, Kubeflow, MLOps ◉ Data & Model Version Control: Git, DVC◉ DemeOps for Scalable MLWhether you're a beginner or a pro, this video equips you to conquer the data science world!Subscribe for more data science insights! Leave a comment with your questions below! Visit stratascratch.com for useful data science resources!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+ds+tools______________________________________________________________________Timeline:Intro: (0:00)Databases: (0:19)Coding Editor: (1:39)Big Data Processing: (2:55)Data Visualization: (4:01)Machine Learning OPS: (5:01)Version Control: (6:51)Conclusion: (7:44)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+ds+tools) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+ds+tools. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience #tools #machinelearning #bigdata #datavisualization #datascienceskills #datascientist
Tools for the data scientists working at scale StrataScratch 2024-05-22 | Ever felt overwhelmed by the vast amount of data out there? You're not alone! This video demystifies the world of Big Data, introducing you to the essential tools that data scientists use to navigate and harness its power.Key Takeaways:◉ Hadoop & Spark: The power couple for storing & processing massive datasets.◉ Kafka & Storm: Masters of real-time data streaming, turning data torrents into insights.◉ HDFS & Bigtable: Robust storage solutions for housing your ever-growing data.◉ Cassandra & MongoDB: Flexible NoSQL databases for evolving data structures.◉ Airflow & Luigi: Workflow orchestration wizards to automate complex data pipelines.This video equips you with the knowledge to confidently explore this exciting field. Subscribe for more Data Science adventures! _____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale______________________________________________________________________Timeline:Intro: (0:00)The pillars of processing: (0:22)The architects of streams: (1:02)Big Data Storage: (1:35)Workflow: (2:40)Conclusion: (3:02)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+for+ds+working+scale. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#BigData #DataScience #MachineLearning #ArtificialIntelligence #Programming
10 over-the-top data science project ideas StrataScratch 2024-05-15 | Tired of boring, practical data science projects? This video is for you! We're diving into ridiculously over-the-top solutions to everyday problems with tools like BigQuery, TensorFlow, and even Quantum Computing!Hit like, subscribe, and share this video with someone who needs a reality check on their next data science project! Want to learn more? Check out stratascratch.com for awesome data science projects!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+unnecessarily+ds+projects______________________________________________________________________Timeline:Intro: (0:00)Lemonade stand analytics: (0:20)The sandwich predictor: (0:50)Grocery blockchain: (1:18)Quantum Netflix dilemma: (1:44)Deep learning for deciphering pet whispers: (2:12)AI-powered plant watering: (2:44)Predictive text for grocery shopping lists: (3:15)VR meetings for data analysis: (3:42)Satellite imagery for finding your keys: (4:08)Cat blog catastrophe: (4:37)Conclusion: (5:14)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+unnecessarily+ds+projects) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+unnecessarily+ds+projects. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceprojects #DataScience #DataAnalysis #DataScientist
8 worst data scientists to work with StrataScratch 2024-05-08 | Have you ever met a data scientist who seems to live in the past? Or one obsessed with achieving the impossible - 100% model accuracy?This hilarious video dives into the unique world of data science personas. From the Historical Data Hermit who worships ancient datasets to the Perfectionist Overfitter on a never-ending quest for the flawless model, you'll recognize these quirky characters (or maybe even yourself!).This video is perfect for anyone who works with data scientists, wants to become one, or just enjoys a good laugh. Leave a comment below and tell us which data science persona YOU are!Like this video and subscribe for more adventures into the wild world of tech!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+worst+ds______________________________________________________________________Timeline:Intro: (0:00)The historical data hermit: (0:20)The perfectionist overfitter: (0:58)The algorithmic artifact collector: (1:34)The data quality crusader: (2:10)The toolbox tornado: (2:43)The code maestro convert: (3:31)The daredevil BI analyst: (4:05)The paranoid privacy paladin: (4:52)Conclusion: (5:18)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+worst+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+worst+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#DataScience #DataAnalysis #DataScientist
How to get fired (as a data scientist) StrataScratch 2024-05-01 | This video is your HILARIOUS guide to the WORST data science practices to NEVER USE AT WORK (Seriously, don't try this at home). From overfitting like a bad suit to cherry-picking p-values like a fruit basket, we'll show you how to become an office legend (or cautionary tale) in no time.Want to impress everyone with your "complex" data skills? Learn how to baffle them with 4D pie charts and holographic scatter plots so confusing they'll need a decoder ring to understand.Plus, discover:◉ Correlation = Causation (Ice cream causes shark attacks? )◉ The Illusion of Precision (99.999999% accurate, obvs)◉ The Infinite Features Technique (More features = More Genius, right?)◉ The Time Traveler's Forecast (Predict the Titanic sinking...from the future! )⚠️ Warning: This video is for entertainment purposes only. Do not try any of these practices at your real job. You will get fired. ⚠️Share this video with your data science friends who need a good reminder of the right way to do things._____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+to+get+fired______________________________________________________________________Timeline:Intro: (0:00)The miracle of overfitting: (0:20)P-hacking your way to stardom: (0:43)Complex graphs galore: (1:13)Correlation = causation: (1:41)The illusion of precision: (2:05)The infinite features technique: (2:30)The Time Traveler's forecast: (2:52)Conclusion: (3:18)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+to+get+fired) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+how+to+get+fired. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#DataScience #DataAnalysis #DataScienceMistakes #datascientist
Popular Tools and Algorithms of a Machine Learning Engineer StrataScratch 2024-04-24 | Master the skills & tools to become a machine learning pro! This comprehensive guide unlocks the world of Machine Learning Engineering.Whether you're a complete beginner or looking to level up your skills, this video equips you with the essential knowledge to thrive in this exciting field.Key Takeaways:◉ Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch) & R ◉ Essential Algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVMs), K-Nearest Neighbors (KNN), K-Means Clustering, Gradient Boosting Machines, Neural Networks, Deep Learning, Principal Component Analysis (PCA)◉ Model Building & Evaluation: Data Preprocessing, Model Selection, Hyperparameter Tuning, Performance Metrics (Accuracy, Precision, Recall, MAE, MSE, RMSE, R-squared), Validation Techniques (Train-Test Split, Cross-Validation, Leave-One-Out CV, Bootstrap)◉ MLOps & Deployment: Software Engineering, System Design, Scalability, Reliability, Maintainability, Model Versioning, Data Drift Monitoring, CI/CD for MLWant to learn more? Check out Stratascratch.com for awesome data science resources!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+algorithms+of+ml______________________________________________________________________Timeline:Intro: (0:00)Programming Languages for ML: (0:28)ML Algorithms: (1:29)Model Building & Evaluation: (2:32)Advanced Skills: (3:12)Conclusion: (4:17)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+algorithms+of+ml) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tools+algorithms+of+ml. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#MachineLearning #MachineLearningEngineer #MLEngineering #DataScience #ArtificialIntelligence #Programming #Algorithms
5 Ways to Impress as a Data Scientist StrataScratch 2024-04-17 | Tired of data speaking a different language? This video unlocks the secrets to becoming a data storytelling MASTER! ➡️Inside, you'll learn how to:◉ Craft data narratives that CAPTIVATE your audience (no more boring reports!)◉ Design VISUALIZATIONS that make complex data SING (ditch the spreadsheets!)◉ Stay AHEAD OF THE CURVE with the latest data science trends (be your team's go-to guru!)◉ COMMUNICATE with CONFIDENCE (speak the language of business, not just data!)Master these skills and you'll not only impress, you'll INSPIRE!Subscribe for more data science tips & tricks!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+as+ds______________________________________________________________________Timeline:Intro: (0:00)Storytelling: (0:30)Visualize victory: (1:06)Stay ahead of the curve: (1:36)Communicate with confidence: (2:11)Collaboration: (2:40)Conclusion: (3:21)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+as+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+impress+as+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________ #dataanalysis #datascience #machinelearning #datavisualization #datascientist #dataanalyst #dataanalytics
A simple PySpark project for beginner data scientists StrataScratch 2024-04-03 | Want to unlock the power of Big Data without the complexity? This PySpark tutorial is your ticket! Download the dataset here: redivis.com/datasets/1e0a-f4931vvyg/tablesLearn how to:◉ Use PySpark for personal data science projects (no company server needed!)◉ Leverage Spark's lightning-fast processing for massive datasets ⚡◉ Analyze data in real-time with Spark Streaming ⏱️◉ Build Machine Learning models & explore graphs Even if you're new to data science, PySpark's Python-like syntax makes it easy to learn.This video includes a hands-on demo using Google Colab to set up PySpark and analyze real-world weather data. You'll see how to:◉ Load & clean your data◉ Calculate statistics & visualize trends◉ Filter & sort data for deeper insightsGet started with PySpark today & take your data skills to the next level! Subscribe for more data science tutorials!_____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+pyspark+project+for+ds______________________________________________________________________Timeline:Intro: (0:00)What is PySpark: (0:32)PySpark Setup: (1:52)Example: (2:47)Take away: (3:58)______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+pyspark+project+for+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+pyspark+project+for+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#pyspark #bigdata #dataanalysis #datascience #machinelearning #datavisualization
Popular Databases You Should Know For Data Science StrataScratch 2024-03-27 | Ready to explore the world of databases? Come along with us as we journey through different types of databases, from ones that can do many things to ones that specialize in specific tasks. Find out about the important databases that make your favorite apps and services work so well.🔍 In this video, we delve into:- Lightweight databases: MySQL, Postgres, MariaDB, and SQLite- Enterprise giants: SQL Server, Oracle, IBM DB2- NoSQL wonders: MongoDB, Cassandra, CouchDB- Distributed databases: Hive, Apache Kafka, Greenplum- Specialized and niche databases: Elasticsearch, RethinkDB, Mongodb, InfluxDB, RedisEach database is a unique tool waiting to be wielded in the quest to harness data. Come with us as we explore each one, showing you what makes them different and how they can be useful. We'll help you understand the ins and outs of the diverse world of databases.Don't miss out! Subscribe to our channel for more insightful content and visit stratascratch.com for valuable data science resources._____________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+popular+databases______________________________________________________________________Timeline:Intro: (0:00)Lightweight databases: (0:29)Enterprise-level Relational Databases: (2:16)NoSQL Databases: (3:23) NewSQL Distributed Databases: (5:20) Specialized and Niche Databases: (7:45)Take away: (9:27)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+popular+databases) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+popular+databases. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#Database #datascience #dataanalytics #dataanalysis #dataanalyst #datascienceskills #databaseskills #databases
The Most Popular Algorithms For Beginners StrataScratch 2024-03-20 | Dive into the world of data science with our comprehensive breakdown of essential machine learning algorithms. Whether you're a newbie eager to demystify ML or a seasoned pro looking to expand your toolkit, this video has something for you!Discover the fundamentals of supervised and unsupervised learning, unravel the mysteries of regression and classification, and explore the intricacies of decision trees, support vector machines, and more. From linear regression to gradient boosting, we've got you covered!🔍 Ready to level up your data science game? Subscribe now for more insightful content and visit stratascratch.com for top-notch data science resources.______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+beginners+ml+algorithms ______________________________________________________________________Timeline:What is Machine learning: (0:00)Machine learning types: (0:38)Regression algorithm: (1:05)Classification algorithm: (1:21)Clustering algorithm: (1:36)Dimensionality reduction algorithm: (1:54)Linear Regression: (2:13)Logistic Regression: (2:40)Decision Trees: (3:13)Naive Bayes: (3:36)K-Nearest Neighbors (KNN): (4:04)Support Vector Machines (SVM): (4:18)Random Forest: (4:44)Gradient boosting algorithms: (5:03)K-means clustering algorithm: (5:41)Principal component analytics (PCA): (6:03)Conclusion (6:25)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+beginners+ml+algorithms) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+beginners+ml+algorithms. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#machinelearning #machinelearningalgorithm #machinelearningwithpython #datascience #python #machinelearningengineer #machinelearningbasics #machinelearningtutorialforbeginners #machinelearningtraining
Can ChatGPT Solve My Data Science Project? StrataScratch 2024-03-06 | Are you worried about AI taking over your data science job? In this video, we put ChatGPT to the test to see if it can handle a complete data science project from start to finish. Using the Student Performance Analysis Project from Pearson as our case study, we delve into the limitations of ChatGPT in real-world coding tasks. Discover why relying solely on ChatGPT for your data science projects could put you at risk of compliance issues and inaccurate results.Subscribe to our channel for more insightful content and visit stratascratch.com for valuable data science resources. Don't let ChatGPT replace your expertise - your job is safe with the right human touch.______________________________________________________________________👉 Subscribe to my channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+for+ds+project______________________________________________________________________Timeline:Intro: (0:00)Issue #1 - Legal Risks: (1:13)Issue #2 - Statistical Test Mishaps: (2:36)Issue #3 - Stakeholder Priorities Ignored: (5:00) Issue #4 - Lack of Creativity: (7:54) Conclusion: (9:45)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+for+ds+project) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+chatgpt+for+ds+project. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________ #datascience #chatgptfordatascience #chatgpt #chatgptplugins #dataanalytics #dataanalysis #dataanalyst #datascienceskills
What type of Data Scientist are you? StrataScratch 2024-02-14 | Discover the evolving landscape of data science careers in this insightful video! From the once-generalist role of data scientists to today's specialized positions, we delve into the key specializations employers are seeking. Whether you're interested in becoming a data engineer, data scientist, machine learning engineer, business/data analyst, or business intelligence engineer, we've got you covered with essential skills and responsibilities. Learn how each role contributes to the data-driven decision-making process and find out how to carve your path in this dynamic field.Don't miss out—subscribe for more valuable insights and visit stratascratch.com for additional data science resources!______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ml+vs+de+vs+ds______________________________________________________________________Timeline:Intro: (0:00)Data Engineer: (1:01)Data Scientist: (2:45)Machine Learning Engineer: (4:42)Business/Data Analyst: (6:27)Business Intelligence Engineer: (7:43)Conclusion: (9:15)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ml+vs+de+vs+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ml+vs+de+vs+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascientist #datascience #datasciencecareer #dataanalysis #machinelearningengineer #businessintelligenceengineer #dataanalyst
The Full Stack Data Scientist - Python Libraries You Need To Know StrataScratch 2024-02-07 | Congratulations on landing your first data science job! Now, let's ensure you shine with the right tools. In this video, we'll guide you through the crucial stages of a data science project and the Python libraries you need to ace them.From data collection with SQLAlchemy, Scrapy, Beautiful Soup, and Selenium, to exploration with NumPy, Pandas, and SciPy, we've got you covered. Discover how to manipulate data efficiently with Pandas and Polars, and handle massive datasets with PySpark and Spark SQL. Visualize your insights beautifully using Matplotlib, Seaborn, Plotly, and Streamlit. Then, dive into the model building with scikit-learn, TensorFlow, and Keras, making complex tasks a breeze.Don't miss out on becoming a data science pro! Subscribe now for more invaluable insights and visit stratascratch.com for top-notch data science resources.______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+data+scientist______________________________________________________________________Timeline:Intro: (0:00)Data Collection Libraries: (0:37)Data Exploration Libraries: (2:01)Data Manipulation Libraries: (3:01)Data Visualization Libraries: (4:32)Model Building Libraries: (5:52)Deploying Models into Production Libraries: (7:05)Conclusion: (3:56)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+data+scientist) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+full+stack+data+scientist. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#pythonlibraries #datascientist #datascience #datascientistlife #datascientistday #datasciencecareer #dataanalysis
The Best SQL Platform Is Not What You Think StrataScratch 2024-01-24 | Struggling to pick the ideal SQL learning platform for your data career? In this video, we break down the key features you should consider before making a decision. From user-friendly interfaces to a diverse set of practice problems and real interview questions, we've got you covered. Discover the top platforms like HackerRank, LeetCode, Stratascratch, Mode, DataCamp, W3Schools, and SQLPAD. Plus, learn why instant feedback, diverse SQL engines, and the ability to interact with peers matter in your learning journey. For an in-depth exploration, you can read our detailed article here: stratascratch.com/blog/a-comprehensive-review-of-online-platforms-for-sql-practice/?utm_source=youtube&utm_medium=click&utm_campaign=YT+best+sql+learning+platform______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+best+sql+learning+platform______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+best+sql+learning+platform) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+best+sql+learning+platform. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Timeline:Intro: (0:00)Interactive interface: (0:33)Diverse range of practice problems: (1:12)Actual interview questions: (2:23) Diversity of SQL engines: (2:57)Instant feedback: (3:32)Seeing other people's code: (4:21)Expert interaction: (4:55)Best platforms: (5:34)______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________ #learnsql #sql #stratascratch #leetcode #hackerrank #w3schools #datacamp #dataanalysis #dataanalyst
The Different Job Roles For Data Scientists In 2024 StrataScratch 2024-01-03 | 🔍 Dive into the dynamic world of data science! Join us as we trace the evolution from the COVID-19 boom to today's specialized landscape. Discover how job roles transformed, the rise of AI tools like ChatGPT, and the demand for specialized expertise in machine learning, data engineering, and more.💼 Job market insights: Explore the dramatic shifts, layoffs, and the emergence of specialized roles.🚀 Trends & Tools: Learn about AI's impact, low-code/no-code tools, and programming language dominance.💡 Future Focus: Unveil the challenges ahead for data scientists in proving ROI and adapting to new powerful tools.Stay ahead in data science — subscribe for more on the latest trends and insights!______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+science+in+2024______________________________________________________________________About The StrataScratch Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+science+in+2024) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+science+in+2024. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience2024 #datascientist #datascience #datascientistlife #datascientistday #datasciencecareer #dataanalysis #techindustry #datasciencejobs
When Does A Senior Data Scientist Actually Code? A Day In The Life StrataScratch 2023-12-06 | Ever wondered what a day in the life of a senior data scientist looks like? Join Nate, a seasoned data scientist, as he navigates the challenges of his daily routine in a big tech company. From mundane meetings to unraveling complex data puzzles, Nate's journey sheds light on the realities of the data science world. Watch to discover the balancing act between coding, problem-solving, and the crucial prep work that consumes most of his time. Are you a budding data scientist? Nate's experiences might resonate with you! Subscribe for more insights into the world of data science and visit stratascratch.com for valuable resources.______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+data+scientist+actually+code. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascientist #datascience #datascientistlife #datascientistday #datasciencecareer #dataanalysis #techindustry #datascienceforbeginners
Short Primer on Tree-Based Machine Learning Models StrataScratch 2023-11-29 | Dive into the world of tree-based models in machine learning with our detailed video guide. We unravel the intricacies of decision trees, random forests, and gradient boosting machines (GBMs), illustrating their functionality and unique advantages in AI decision-making processes. Through practical Python examples using the Iris dataset, we demonstrate how these models operate, from visualizing decision trees to implementing random forests and GBMs.Additionally, we tackle common challenges such as overfitting, handling continuous variables, and dealing with large, complex datasets, offering effective solutions and tips.Whether you're a beginner or an experienced practitioner, this video is designed to enhance your understanding and skills in machine learning. Join us on this journey to master tree-based models, apply your knowledge to real-world data projects, and advance your career in the ever-evolving field of data science. ______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tree+based+models______________________________________________________________________Timeline:Intro: (0:00)Decision Trees (0:20)Random Forest: (1:43)GBMs: (2:46) Issues and solutions when implementing decision trees (4:15)Conclusion: (7:23)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tree+based+models) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+tree+based+models. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#machinelearning #decisiontree #randomforests #modeling #datascience #dataanalytics #datascientist #machinelearningalgorithm #machinelearningtutorialforbeginners #machinelearningengineer
What Visualization Frameworks Do You Need To Learn As A Data Scientist? StrataScratch 2023-11-16 | Dive into the world of data visualization with this comprehensive guide. Whether you're a budding data scientist, an experienced analyst, or simply intrigued by the power of data, this video is for you. We explore:1. JavaScript Frameworks: Uncover the dynamic and interactive possibilities offered by JavaScript frameworks in data visualization.2. Python/R Libraries: Delve into the robust and versatile libraries available in Python and R.3. Enterprise Solutions: Discover the world of enterprise-level visualization solutions.______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualization+frameworks+types______________________________________________________________________Timeline:Intro: (0:00)JavaScript Frameworks: (0:29)Python / R Libraries: (1:23)Enterprise Solutions: (2:42)Conclusion: (3:56)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualization+frameworks+types) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+visualization+frameworks+types. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datavisualization #javascriptframework #pythonlibraries #datascience #dataanalyst #datascienceskills
Cleaning Data Like a 10x Data Scientist StrataScratch 2023-11-08 | Struggling with data cleaning as a data scientist? Watch this video to avoid common mistakes and level up your data-cleaning game! Learn how to handle missing values, outliers, data inconsistency, datatype issues, and duplicates like a pro. Plus, discover time-saving automation tips. Don't miss out on essential data science insights!If you found this video helpful, please subscribe to our channel for more valuable data science content. For additional resources, visit stratascratch.com______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds______________________________________________________________________Timeline:Intro: (0:00)Mistake 1: (0:33)Mistake 2: (1:06)Mistake 3: (1:54)Mistake 4: (2:31)Mistake 5: (3:11) Solutions: (3:51)Conclusion: (4:52)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#DataScience #DataCleaning #DataAnalysis #DataQuality #Automation
10 Ways Not To Suck On Coding Interviews For Data Science StrataScratch 2023-11-01 | Data science interviews can be nerve-wracking, but we've got your back! In this video, we'll walk you through 10 common coding mistakes to avoid in interviews. From understanding the problem to considering business impact, we cover it all. Don't miss this essential guide for your next interview. Subscribe for more data science tips and visit stratascratch.com for additional resources. ______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+10+ds+interview+mistakes______________________________________________________________________Timeline:Intro: (0:00)Mistake 1: (0:23)Mistake 2: (0:54)Mistake 3: (1:32)Mistake 4: (2:19)Mistake 5: (2:45)Mistake 6: (3:37)Mistake 7: (4:06)Mistake 8: (4:52)Mistake 9: (5:24)Mistake 10: (6:03)Conclusion: (6:27)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+10+ds+interview+mistakes) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+10+ds+interview+mistakes. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceinterview #datascience #datasciencecareer #dataanalytics #dataanalysis #dataproject #codinginterview #careertips #codingmistakes #dataanalytics #datascienceprojects
5 Skills Companies Look For in Data Science Candidates + 5 Project Ideas StrataScratch 2023-10-11 | In today's data-driven era, the role of a data scientist has evolved into one of the most coveted positions in the job market. Discover the five essential skills every data science candidate should possess. Plus, get project ideas to boost your proficiency in these areas. Let's get started on your journey to becoming a competitive data scientist! 📊💡 Project ideas that will help you improve on data science skills:1. kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python2. github.com/karpathy/char-rnn3. tensorflow.org/tutorials/images/cnn4. tableau.com/covid-19-coronavirus-data-resources5. github.com/susanli2016/Machine-Learning-with-Python/blob/master/Consumer_complaints.ipynb______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+5+skills+companies+look+for______________________________________________________________________Timeline:Intro: (0:00)Strong Analytical Skills: (0:27)Proficiency in Coding: (1:49)Machine Learning Expertise: (2:58)Data Viz & Communication Skills: (4:01)Domain Expertise: (5:08) Conclusion: (6:30)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+5+skills+companies+look+for) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+5+skills+companies+look+for. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceskills #datascienceprojects #datasciencecareer #dataanalytics #dataanalysis #machinelearning #dataproject #python #sql #rprogramming #datascientist #dataanalyst
Master SQL Subqueries with Multiple Tables StrataScratch 2023-09-20 | In this video, we dive deep into solving SQL interview questions using powerful subqueries that involve multiple tables. Whether you're preparing for a job interview or just looking to enhance your SQL skills, we've got you covered! In this tutorial, you'll learn how to use the essential SQL subquery operators: IN, NOT IN, EXISTS, and NOT EXISTS. We'll walk you through real-world examples and provide step-by-step explanations to help you grasp the concepts with ease.Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest SQL tutorials and interview preparation tips.🧑💻 Go to the question through the link below and follow along with us:platform.stratascratch.com/coding/9838-find-details-of-workers-excluding-those-with-the-first-name-vipul-or-satish?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+multiple+tables______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+multiple+tables______________________________________________________________________Timeline:Intro: (0:00)In & Not In functions in SQL: (1:10)Exist & Not Exist functions in SQL: (4:28)Conclusion: (6:52)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+multiple+tables) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+multiple+tables. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#sql #sqlfordatascience #datascience #sqlforbeginners #sqlprogramming #dataanalytics #dataanalyst #subquery
6 Stages of Data Science Project StrataScratch 2023-09-13 | In this video, we'll guide you through the essential stages of a data science project. Discover how to collect, clean, explore, visualize, build, and deploy your data-driven projects effectively. Whether you're a beginner or looking to enhance your skills, these steps will help you stand out in the competitive data science field. Don't miss out – like, share, and subscribe for more insightful content! ______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+project+stages______________________________________________________________________Timeline:Intro: (0:00)Data Collection: (0:51)Building Data Pipeline: (2:05)Data Exploration: (2:52)Data Visualization: (3:34)Model Building: (4:24)Model in Production: (5:23)Conclusion: (6:22)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+project+stages) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+project+stages. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascienceprojects #datascience #datasciencecareer #datascienceskills #dataanalytics #dataanalysis #machinelearning #dataproject
3 Data Science Projects To Land A Job StrataScratch 2023-09-06 | Discover the top 3 data science projects that will guarantee you a job! Learn which essential skills hiring managers are looking for, including Python, statistical analysis, machine learning, and data visualization. Dive into real-world projects like analyzing Uber's supply and demand, predicting customer churn for Sony, and using data to tackle predictive policing. Find the featured projects in the video via the links below:1️⃣ Project: platform.stratascratch.com/data-projects/insights-city-supply-and-demand-data?utm_source=youtube&utm_medium=click&utm_campaign=YT+3+ds+projects2️⃣ Project: platform.stratascratch.com/data-projects/customer-churn-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+3+ds+projects3️⃣ Project: towardsdatascience.com/the-perils-of-predictive-policing-11928a9f1d60______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+3+ds+projects______________________________________________________________________Timeline:Intro: (0:00)Fundamental Data Science Skills: (0:23)Uber Data Science Project: (1:34)Sony Data Science Project: (2:48)Predictive Policing Data Project: (4:35)Conclusion: (5:53)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+3+ds+projects) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+3+ds+projects. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#datascience #datascienceprojects #datasciencecareer #datascienceskills #dataanalytics #dataanalyst #pythonprojects
Is SQL Really the ONLY Language You Need for Data Science? StrataScratch 2023-08-29 | Looking for the perfect data science language? 🤔 Look no further! In this video, we reveal the often-overlooked powerhouse of data science: SQL. Discover why SQL is the non-negotiable base requirement for any data scientist and the ultimate transferable skill you need in the ever-evolving data landscape. Don't miss out – SQL is your key to data science success! ______________________________________________________________________👉 Subscribe to the channel: bit.ly/2GsFxmA👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81👉 Playlist for data science interview tips: bit.ly/2G5hNoJ👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+language+for+ds______________________________________________________________________Timeline:Intro: (0:00)What is SQL: (0:19)Data Cleaning in SQL: (1:05)SQL Integration with other Data Science languages: (2:13)SQL to Get a Data Science Job: (3:08)Conclusion: (3:40)______________________________________________________________________About The Platform:StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+language+for+ds) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+language+for+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.______________________________________________________________________Contact:If you have any questions, comments, or feedback, please leave them here!Feel free to also email us at team@stratascratch.com______________________________________________________________________#sql #sqlfordatascience #programminglanguage #datascienceforbeginners #sqlforbeginners #sqlprogramming #datascience #datascienceskills #dataanalytics #dataanalyst
