What it’s like being a data scientist | Tina Huang

What it’s like being a data scientist Hi friends, this video is a bit of a reflection on my year (and 4 months?) as a FAANG data scientist. I talk about my experience, what I wish I had known, and my lessons learned (a lot of lessons learned). A portion of this video is sponsored by 365 Data Science who is giving away a free month of access to all their content, exams, and resume builder in celebration of their new website! Join a full month of free learning, starting Oct.18th until Nov.18th. No credit card required :) You can check out 365 Data Science at *https://bit.ly/3aHjJ2a. ⏰Timestamps 00:00 intro00:53 ability to learn fast 06:01 uncertainty (probably)08:04 ambiguity 10:00 research & planning (pls)11:29 burnout 🔗Affiliates========================365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA📲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========================How 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: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#tech #datascience #tinahuang 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/@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. ---- Keywords: coding tips, ai podcast, llm comparison, tina huang, tech tutorials, ai safety Learn more about your ad choices. Visit megaphone.fm/adchoices