SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3 | Tina Huang

Marketers are increasingly concerned about the effectiveness of their advertising campaigns, particularly when metrics like impressions do not translate into tangible revenue. This phenomenon, referred to as "bullspend," highlights the need for a shift in focus from mere reach to actual results. LinkedIn is noted for delivering the highest return on ad spend among major ad networks, prompting a call for advertisers to reconsider their strategies.

In a discussion about preparing for data science interviews, a user shares their experience with finding SQL interview questions and creating dummy data for practice. They express frustration over the time-consuming process and introduce a platform called Stratoscratch, which curates real data science interview questions and provides the necessary dummy data. The platform aims to streamline the preparation process by offering solutions and allowing users to verify their answers.

The user emphasizes the benefits of Stratoscratch, including its time-saving features and the quality of its content, while also noting some drawbacks such as inconsistencies in question quality and minor bugs. Overall, they find the platform to be a valuable resource for those serious about preparing for data science interviews, highlighting its affordability and potential for improvement in the future.

SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3

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/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested in========================SQL Sundays Playlist: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dAHow I learned SQL from Scratch in 11 Days to Pass my FANNG SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhMHow I consistently study with a full-time job:https://www.youtube.com/watch?v=INymz5VwLmkHow 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: [email protected] ========================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! :)

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