✉️ NEWSLETTER: [ Ссылка ]
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):
[ Ссылка ]

365 Data Science:
[ Ссылка ] (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
[ Ссылка ]

🎥 My Filming Setup
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📷 camera: [ Ссылка ]
🎤 mic: [ Ссылка ]
🔭 tripod: [ Ссылка ]
💡 lights: [ Ссылка ]

⏰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: [ Ссылка ]

linkedin: [ Ссылка ]

discord: [ Ссылка ]

🤯Study with Tina
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Study with Tina channel:
[ Ссылка ]

How to make a studying scoreboard:
[ Ссылка ]

Scoreboard website:
scoreboardswithtina.com

livestreaming google calendar:
[ Ссылка ]

🎥Other videos you might be interested in
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How I consistently study with a full time job:
[ Ссылка ]

How I would learn to code (if I could start over):
[ Ссылка ]

🐈‍⬛🐈‍⬛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: [ Ссылка ]
email for business inquiries only: hellotinah@gmail.com

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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! :)

#whynotdatascience #tech #datascience #tinahuang

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