Tina Huang

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


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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
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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!)

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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


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Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1
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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
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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 :)
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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 :)
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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

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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.

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Tina HuangBy Tina Huang