What to EDUCATE YOURSELF on in 2022 (because the world is changing very quickly) 🐈‍⬛ | Tina Huang

What to EDUCATE YOURSELF on in 2022 (because the world is changing very quickly) 🐈‍⬛

The first 1000 visitors to https://www.shortform.com/tinahuang will receive a 5 days of unlimited access and a 20% discounted annual subscription.In this video, I explain why I continue to self study even though I already have a good job as a data scientist in tech. 🖱️Links mentioned in video========================social security depletion: https://www.cnbc.com/2021/08/31/social-security-trust-funds-set-to-be-depleted-sooner-than-expected.htmlinflation: https://tradingeconomics.com/united-states/inflation-cpiunemployment racial gap: https://www.bloomberg.com/graphics/2021-us-minority-jobs-recovery/⏰Timestamps ========================00:00 intro 00:50 have things in my own hands 03:31 financial - location - time - intellectual freedom 06:52 we're on the cusp of change (imo) 08:24 keystone habit09:12 learn & create 🔗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=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========================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