How to learn math for data science (the minimize effort maximize outcome way)

In this video, I cover how to learn math for data science - the minimize effort and maximize outcome way! You also get a look at my transcript c:
______________________________________________________________
Links mentioned in video:
Linear Regression Statquest with Josh Starmer:
https://www.youtube.com/watch?v=PaFPbb66DxQ&list=PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU

______________________________________________________________________
You might also be interested in these videos

How to learn learn data science in 2021:
https://www.youtube.com/watch?v=Axu4tJl8gbM
Day in the life of a FAANG data Scientist:
https://www.youtube.com/watch?v=lCi6fWuI8r4
How to choose between software engineering and data science:
https://www.youtube.com/watch?v=JUkSeqe1eYQ
______________________________________________________________________
Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1
______________________________________________________________________
Real SQL interview question walkthrough series:
https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA

Check out StrataScratch for SQL interview prep:
https://stratascratch.com/?via=tina
______________________________________________________________________
Contact

youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred but I might suck at responding)
email: [email protected]

*If you're reaching out through linkedin or email, please leave a youtube comment just letting me know that you reached out :)
______________________________________________________________________
*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I'm currently not monetized and really appreciate your support in helping improve this channel! :)

#DataScience #MathforDataScience #TinaHuang

Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.

Disclaimer: 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