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Why you should not be a data scientist
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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
========================
My SQL for data science interviews course (10 full interviews):
365 Data Science:
Check out StrataScratch for data science interview prep:
🎥 My Filming Setup
========================
⏰Timestamps
========================
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
========================
🤯Study with Tina
========================
Study with Tina channel:
How to make a studying scoreboard:
Scoreboard website:
livestreaming google calendar:
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
How I would learn to code (if I could start over):
🐈⬛🐈⬛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!
========================
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
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
========================
My SQL for data science interviews course (10 full interviews):
365 Data Science:
Check out StrataScratch for data science interview prep:
🎥 My Filming Setup
========================
⏰Timestamps
========================
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
========================
🤯Study with Tina
========================
Study with Tina channel:
How to make a studying scoreboard:
Scoreboard website:
livestreaming google calendar:
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
How I would learn to code (if I could start over):
🐈⬛🐈⬛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!
========================
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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