Tina Huang How to learn SQL for data science interview (the minimize effort maximize outcome way) | Tina Huang
How to learn SQL for data science interview (the minimize effort maximize outcome way)This is a step by step guide for how I learned SQL for my FANG data science interview. I had never touched SQL before and only had 2 weeks to prepare for my interview. So I made a scientifically-backed study plan to learn SQL most efficiently with the least amount of time and effort. By the end of the 11 days, I felt super confident and prepared. I went on to pass my FANG data science interviews and got the job!My motto: Minimize effort and maximize outcome!!Btw apologies about audio quality from about 2 - 3.5 min mark. Something weird happened to my mic :( ______________________________________________________________________ Timestamps: 00:00 Overview 01:01 Study Plan 06:00 SQL Interview Demo 08:47 End of Demo 09:36 Final Thoughts ______________________________________________________________________ Contact: email: hellotinah@gmail.com linkedin: https://www.linkedin.com/in/tinaw-h/ ______________________________________________________________________ Music Credit: Potato Deal - Craig MacArthur Smile - Slynk ______________________________________________________________________ relevant topics: mysql, postgresql, postgresql tutorial ,postgresql tutorial for beginnersFollow 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/@TinaHuang1Disclaimer: 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.----------------------- ------------------------------
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