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Why being a data scientist is awesome!
In the last video, we talked about why you should not be a data scientist. If you still think that data science could be the right career path for you then this video is for you! In this video, we're going to flip it around and talk about why being a data scientist is awesome! Which I clearly think it is since I'm here talking to you still as a full time data scientist :)
đź”—Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/
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
Timestamps
00:00 Intro
00:31 6 figure entry level salary
02:21 freedom to explore
03:32 applicable to many industries
04:41 never get bored
06:40 specialization
08:26 easily transferable to other roles
_____________________________________________________________________
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw
livestreaming google calendar:
https://bit.ly/3wvPzHB
_____________________________________________________________________
Other videos you might be interested in
Why you should not be a data scientist:
https://www.youtube.com/watch?v=sOZ8MxFw8TQ&t=36s
Why I work so hard (despite having a 'good' job):
https://www.youtube.com/watch?v=XPYT8BaTqoA&t=112s
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
______________________________________________________________________
Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1
______________________________________________________________________
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!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]
If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :)
______________________________________________________________________
Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
#whydatascience #tech #datascience #tinahuang
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
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 affiliated 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.
-
Learn more about your ad choices. Visit megaphone.fm/adchoices
Why being a data scientist is awesome!
In the last video, we talked about why you should not be a data scientist. If you still think that data science could be the right career path for you then this video is for you! In this video, we're going to flip it around and talk about why being a data scientist is awesome! Which I clearly think it is since I'm here talking to you still as a full time data scientist :)
đź”—Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/
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
Timestamps
00:00 Intro
00:31 6 figure entry level salary
02:21 freedom to explore
03:32 applicable to many industries
04:41 never get bored
06:40 specialization
08:26 easily transferable to other roles
_____________________________________________________________________
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw
livestreaming google calendar:
https://bit.ly/3wvPzHB
_____________________________________________________________________
Other videos you might be interested in
Why you should not be a data scientist:
https://www.youtube.com/watch?v=sOZ8MxFw8TQ&t=36s
Why I work so hard (despite having a 'good' job):
https://www.youtube.com/watch?v=XPYT8BaTqoA&t=112s
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
______________________________________________________________________
Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1
______________________________________________________________________
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!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]
If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :)
______________________________________________________________________
Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
#whydatascience #tech #datascience #tinahuang
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
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 affiliated 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.
-
Learn more about your ad choices. Visit megaphone.fm/adchoices