Data Science SQL Interview Question Walkthrough (real interview style) | SQL Sundays #7

Hi friends! Welcome back to SQL Sundays! A weekly SQL data science interview questions and answers walkthrough.

This is another data science SQL interview question and answer done from beginning to end in a real interview style.

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/

linkedin: https://www.linkedin.com/in/tinaw-h/

discord: https://discord.gg/5mMAtprshX

🤯Study with Tina
========================
Study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw

How to make a studying scoreboard:
https://www.youtube.com/watch?v=KAVw910mIrI

Scoreboard website:
scoreboardswithtina.com

livestreaming google calendar:
https://bit.ly/3wvPzHB

🎥Other videos you might be interested in
========================
SQL Sundays Playlist:
https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA

How I learned SQL from Scratch in 11 Days to Pass my FANNG SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM

How I consistently study with a full-time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :)

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com

========================
Some links are affiliate links and I may receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

Music Credit:
TheFatRat & Laura Brehm - We'll Meet Again
https://www.youtube.com/watch?v=hJqYc62NCKo

Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.

Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1

Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.

-

Learn more about your ad choices. Visit megaphone.fm/adchoices

Father James Martin