my simple weekly planning routine (that actually works)

In this video, I talk about how I plan my week and each of my days so I make sure that I get things things done. Also so I'm not a ball of anxiety.

Timestamps

00:00 Intro
01:25 Step 1 - brain dump
02:24 Step 2 - trim
02:51 Step 3 - prioritize
04:30 Step 4 - 2 minute rule
05:15 Step 5 - priming
05:58 Step 6 - clothes
07:02 how to timeblock & plan day

🔗Affiliates
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**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
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instagram: https://www.instagram.com/hellotinah/

linkedin: https://www.linkedin.com/in/tinaw-h/

discord: https://discord.gg/5mMAtprshX

🤯Study with Tina
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Study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw

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
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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

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Links marked with ** 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! :)
#planmyweek #plantheweek #planwithme #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. ----- Keywords: open source ai, machine learning, gpt models, ai apps, ai development, data science, coding tips

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