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How I would learn to code (if I could start over)
✉️ NEWSLETTER: https://tinahuang.substack.com/
It's about learning, coding, and generally how to get your sh*t together c:
In this video, I give you my step by step process on how I would learn to code if I could start over again. I also provide you with some of my recommended resources, explain how to choose a project, and specific projects to do. Perhaps most importantly, I give you tips on adopting the correct mindset and mentality that will help you learn to code faster and become better faster (these were my mistakes).
?Affiliates
========================
Python for everyone on Coursera:
https://coursera.pxf.io/gbeaxB
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie
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
? My Filming Setup
========================
? camera: https://amzn.to/3LHbi7N
? mic: https://amzn.to/3LqoFJb
? tripod: https://amzn.to/3DkjGHe
? lights: https://amzn.to/3LmOhqk
⏰Timestamps
========================
00:00 intro
00:56 why choose python
01:14 what to learn
01:31 recommended resources
02:21 how to use resources efficiently
03:36 timeline for learning basics
04:20 how to choose your first project
05:02 example projects!
07:59 what to learn next
08:29 data structures and algorithms project
08:39 what to learn next
09:26 correct mindset
11:39 how to learn even faster
?Links mentioned in video
========================
freeCodeCamp: https://www.freecodecamp.org/
Codecademy: https://www.codecademy.com/
Python for everyone on Coursera: https://coursera.pxf.io/gbeaxB
learn python the hard way: https://www.amazon.com/Learn-P....ython-Hard-Way-Intro
python crash course: https://www.amazon.com/dp/B07J4521M3/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1
blackjack starter tutorial: https://towardsdatascience.com..../lets-play-blackjack
poker starter tutorial: https://towardsdatascience.com..../poker-with-python-h
tic tac toe starter tutorial: https://medium.com/byte-tales/....the-classic-tic-tac-
snake starter tutorial: https://www.edureka.co/blog/sn....ake-game-with-pygame
maze tutorial: https://medium.com/swlh/fun-wi....th-python-1-maze-gen
?Affiliates
========================
365 Data Science:
https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina
?Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
?Study with Tina
========================
Study with Tina channel:
https://www.youtube.com/channe....l/UCI8JpGrDmtggrryhm
How to make a studying scoreboard:
https://www.youtube.com/watch?v=KAVw910mIrI
Scoreboard website:
scoreboardswithtina.com
livestreaming google calendar:
https://bit.ly/3wvPzHB
?Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
?⬛?⬛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: hellotinah@gmail.com
========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
#learntocode #howtolearntocode #TinaHuang