✉️ NEWSLETTER: https://tinahuang.substack.com/
It's about learning, coding, and generally how to get your sh*t together c:
I've been a FAANG data scientist for over a year now. While that's not a lot of time, I've had the amazing opportunity to work with super star data scientists, be mentored by them, and even start mentoring more junior data scientists! I've learned a lot about what it actually means to be a data scientist. In this video, I talk about why you should not be a data scientist.
🔗Affiliates
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My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-...
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
🎥 My Filming Setup
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📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk
⏰Timestamps
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00:00 Intro
01:14 CS, stats, business
03:48 scrappiness
05:53 constantly learning
07:39 the scientific method
09:32 marketing
11:19 the mistake a lot of people make
📲Socials
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instagram: / hellotinah
linkedin: / tinaw-h
discord: / discord
🤯Study with Tina
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Study with Tina channel:
/ @studywithtina7726
How to make a studying scoreboard:
• The scoreboard I use to achieve my goals (...
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:
• How I consistently study with a full time ...
How I would learn to code (if I could start over):
• How I would learn to code (if I could star...
🐈⬛🐈⬛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 :)
📧Contact
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youtube: youtube comments are by far the best way to get a response from me!
linkedin: / tinaw-h
email for business inquiries only: [email protected]
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#whynotdatascience #tech #datascience #tinahuang
On this page of the site you can watch the video online Why you should not be a data scientist with a duration of hours minute second in good quality, which was uploaded by the user Tina Huang 19 September 2021, share the link with friends and acquaintances, this video has already been watched 784,072 times on youtube and it was liked by 21 thousand viewers. Enjoy your viewing!