How to design a self study plan (and follow through with it)

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Hi friends! Self study is hard! It's hard to design an effective and efficient self study plan and I argue even harder to actually stick with it. It's common to fall into the trap of buying other people's study plans and then giving up. Or falling into tutorial hell and giving up. Or feel frustrated because you feel like you're running around in circles and not seeing progress and giving up. Basically, it's really really easy to give up. So in this video, I'm going to share with you guys 8 crucial ingredients that I incorporate into my study plans. The first 5 is for designing the study plan and the last 3 are to make sure that I actually stick with it.

There you have it: how I design effective study plans and stick with them!


00:00 Intro
00:50 Ingredient 1 - purpose
02:39 Ingredient 2 - meta-learning
03:45 Ingredient 3 - directness
05:15 Ingredient 4 - breadth over depth
07:02 Ingredient 5 - resources
09:18 Ingredient 6 - schedule
10:58 Ingredient 7 - accountability
12:27 Ingredient 8 - notes
Links mentioned in video

How I would learn to code (if I could start over):

How to learn data science in 2021:


study with tina channel:

livestreaming google calendar:

SQL for tech and data science interviews course with 10 mock interviews:
($ promotion until July 18th, 2021!)

Other videos you might be interested in

How to self study technical things:

Real SQL interview question walkthrough series:

**Check out StrataScratch for SQL interview prep:

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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