Uploaded April 2023 | Updated September 2026, 12 hours ago
This video will walk you through Google's "Videos Removed on Latest Date" SQL interview question.
We explore two datasets and use of IFNULL() function and SQL queries to find the latest date when flags got reviewed for each unique user, and then determine the total number of distinct videos that got removed on that date. Along the way, we discuss important SQL concepts such as filtering, joining, and aggregating tables.
Join us to see how we solve this hard-level problem!
Go to the question through the link below and follow along with me π
platform.stratascratch.com/coding/2105-videos-removed-on-latest-date?code_type=3&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull
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π Subscribe to my channel: bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull
______________________________________________________________________
Timeline:
Intro: (0:00βββ)
Interview Question: (0:18 )
Exploring and understanding the dataset: (1:02)
Writing out the approach: (2:39ββ)
Coding the solution: (3:42)
Conclusion: (β7:46)
______________________________________________________________________
About The Platform:
I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull), 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?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull. 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
______________________________________________________________________
#googleinterviewquestion #mysql
This video will walk you through Google's "Videos Removed on Latest Date" SQL interview question.
We explore two datasets and use of IFNULL() function and SQL queries to find the latest date when flags got reviewed for each unique user, and then determine the total number of distinct videos that got removed on that date. Along the way, we discuss important SQL concepts such as filtering, joining, and aggregating tables.
Join us to see how we solve this hard-level problem!
Go to the question through the link below and follow along with me π
platform.stratascratch.com/coding/2105-videos-removed-on-latest-date?code_type=3&utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull
______________________________________________________________________
π Subscribe to my channel: bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull
______________________________________________________________________
Timeline:
Intro: (0:00βββ)
Interview Question: (0:18 )
Exploring and understanding the dataset: (1:02)
Writing out the approach: (2:39ββ)
Coding the solution: (3:42)
Conclusion: (β7:46)
______________________________________________________________________
About The Platform:
I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull), 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?utm_source=youtube&utm_medium=click&utm_campaign=YT+sql+ifnull. 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
______________________________________________________________________
#googleinterviewquestion #mysql
![Top Data Analyst Tools: From Beginner to Pro [Ultimate Guide]
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 youre a beginner or looking to upskill.
Well cover everything from:
β Project Management: Jira, Trello, Confluence
β Brainstorming & Mind Mapping: Miro, MindMeister
β Databases & SQL: SQL, MongoDB, Cassandra
β Data Gathering: APIs, BeautifulSoup, Scrapy, Octoparse
β Data Integration: Talend, Apache Nifi, Microsoft Power Automate
β Data Cleaning: OpenRefine
β Data Analysis & Visualization: Excel, Google Sheets, Python, R, Pandas, NumPy, ggplot2, Jupyter Notebooks
β Web Analytics: Google Analytics
β Statistical Analysis: SAS, SPSS
β ETL Tools: Apache Spark, Informatica, Alteryx
β Data Visualization: Tableau, Power BI, Looker Studio, ClickView
β Presentation Tools: PowerPoint, Google Slides, Canva
β Data Documentation: Jupyter Notebooks, R Markdown, Google Docs, Github
Master 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!
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Playlist for data science projects: https://bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+top+da+tools
Timeline:
Intro: (0:00βββ)
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: (6:02ββ)
About The StrataScratch Platform:
StrataScratch (https://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 https://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 Top Data Analyst Tools: From Beginner to Pro [Ultimate Guide]](https://i.ytimg.com/vi/sBD3HAbUDQU/mqdefault.jpg)









