What to EDUCATE YOURSELF on in 2022 (because the world is changing very quickly) 🐈‍⬛ | Tina Huang 6a6k28

31/05/2025

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

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
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social security depletion: https://www.cnbc.com/2021/08/31/social-security-trust-funds-set-to-be-depleted-sooner-than-expected.html

inflation: https://tradingeconomics.com/united-states/inflation-i

unemployment racial gap: https://www.bloomberg.com/graphics/2021-us-minority-jobs-recovery/

⏰Timestamps
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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 habit
09:12 learn & create

🔗s
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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
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instagram: https://www.instagram.com/hellotinah/

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

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

🤯Study with Tina
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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
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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
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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 :)

📧
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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]

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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 d 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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