Uploaded February 2024 | Updated September 2026, 3 days ago
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.
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👉 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
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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)
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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
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
![Using Python Pandas for Building Ubers Business Models [Part 3]](https://i.ytimg.com/vi/xlppLbv7nb0/mqdefault.jpg "Using Python Pandas for Building Ubers Business Models [Part 3]
Welcome to the final episode in our Uber Data Science Project Series! In this video, we dive into solving Ubers Partner Business Modeling data project using Python to filter data and find the answers. Specifically, we tackle scenario two, where we calculate the net earnings per year of a taxi driver who generates $200 per day before expenses. We also calculate how much the drivers gross fares need to increase per week to fully pay for a $40,000 car and maintain the same yearly profit as before, assuming the driver partners with Uber. Join us as we walk you through the process and share the exciting final results of this data project. Dont forget to subscribe and hit the notification bell to stay updated on our latest content.
Watch our previous video:
📌 Part 1: Exploratory Data Analysis For An Uber Python Data Science Project: https://youtu.be/ZOthTms86Bw
📌 Part 2: Using Python Pandas To Answer Business Questions For An Uber Data Science Project: https://www.youtube.com/watch?v Lzi4Qoy2v4
🧑💻 Go to the question through the link below and follow along with us: https://platform.stratascratch.com/data-projects/partner-business-modeling?utm_source=youtube&utm_medium=click&utm_campaign=YT+partner+business+modeling+uber+project+3
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+partner+business+modeling+uber+project+3
Timeline:
Intro: (0:00)
Exploring and understanding the data: (0:15)
Coding the solution: (1:26)
Conclusion: (8:46)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+partner+business+modeling+uber+project+3), 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 https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+partner+business+modeling+uber+project+3. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, 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 me at nathan@stratascratch.com
#PythonDataProject #DataScienceProject #UberDataScienceProject")
![Data Science SQL Scenario Based Interview Question [Facebook] - Date Manipulation](https://i.ytimg.com/vi/yY7yau9j3xk/mqdefault.jpg "Data Science SQL Scenario Based Interview Question [Facebook] - Date Manipulation
This Data Science SQL interview question is from Facebook, and tests your ability to filter out data based on date conditionals. I’ll walk you through solving the question like we’re in an interview and give you some tips on how to approach the solution as well as how to efficiently and effectively communicate with your interviewer.
Go to the question through the link below and follow along with me.
Link to the question: https://platform.stratascratch.com/coding/2004-number-of-comments-per-user-in-past-30-days?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00)
Interview Question: (0:33)
Framework to solve the problem: (1:08)
Understand your data: (2:25)
Formulate your approach: (4:16)
Code Execution: (6:15)
Additional Technical Concepts: (11:56)
Conclusion: (14:40)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), 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 https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, 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 me at nathan@stratascratch.com
#FacebookDataScienceInterview")
![Edge Case Alert in Python Interview Question Solving [Part 2]](https://i.ytimg.com/vi/yoUO84tOH3c/mqdefault.jpg "Edge Case Alert in Python Interview Question Solving [Part 2]
In this video, well discuss how to solve a Meta interview question that involves filling the null values with zeros. By learning this technique, youll be able to identify and solve problems by using the fillna() function. So be sure to subscribe to our channel and stay up to date on the effective approach for solving Python interview questions.
Part 1: https://www.youtube.com/shorts/9quwCoQ6CoU
Go to the question through the link below and follow along with me👇
Link to the question: https://platform.stratascratch.com/coding/2123-product-families?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
👉 Watch the full video: https://youtu.be/RmMuS5iiviI
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), 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 https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, 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 me at nathan@stratascratch.com
#DataAnalytics #PythonInterviewQuestions #Stratascratch")
