Why efficient note-taking matters

How I take notes - Tips for efficient note taking that speeds up learning

Hi friends! In this video, I share with you guys how I take notes from start to finish. I love things that minimize effort and maximize outcome so my note taking also doubles as a way to speed up the learning process. It's also fast and efficient, but still easy to reference when I want to revisit the notes in the future. I hope you enjoy this video: How I take notes - Tips for efficient note taking that speeds up learning

Timestamps

00:00 Intro
01:23 Stationary
02:48 Pre-notetaking
03:17 Notetaking
03:35 Notetaking - system
04:11 Notetaking - focus on high level concepts
05:05 Notetaking - focus on own insights and connections
06:22 Notetaking - full examples
08:45 Notetaking - tip if you have FOMO
09:07 Post-notetaking
_____________________________________________________________________
discord: https://discord.gg/5mMAtprshX
livestreaming google calendar: https://calendar.google.com/calendar/u/1?cid=cDBtOGgxOG1waW92bTJxYzdpZmkzNmgwODhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ

SQL for tech and data science interviews course with 10 mock interviews:
https://www.udemy.com/course/sql-for-tech-and-data-science-interviews/?couponCode=DF947818F15A561AE84E ($12.99 promotion until July 18th, 2021!)

_____________________________________________________________________
Other videos you might be interested in

How I would learn to code (if I could start over):
https://youtu.be/MHPGeQD8TvI

How to self study technical things:
https://www.youtube.com/watch?v=_EzmbCuoFcU


______________________________________________________________________
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
______________________________________________________________________
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! :)


#howitakenotes #datascience #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. ----------- Keywords: ai projects, artificial intelligence, tech tutorials, machine learning

Learn more about your ad choices. Visit megaphone.fm/adchoices