How to learn data science in 2022 (the minimize effort maximize outcome way)

In this video, I cover how to learn data science in 2022 (which tbh is the same as how I would learn data science in 2021still lol) - the minimize effort and maximize outcome way! If you're committed to learning data science in 2022, I have nothing more to say than to watch this video! I spend a lot of time putting this vid together and I can't wait for us to start ;)

📚Links mentioned in video
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Ken Jee's 66daysofdata:
Ken Jee's How I would learn data science in 2021:

Data Professor's Data science process:

Krish Naik's Step by step action plan:

How I learned SQL from Scratch in 11 days:

🔗Affiliates
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365 Data Science:

Check out StrataScratch for data science interview prep:

Google Data Analytics Certificate on Coursera:

🎥 My Filming Setup
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⏰Timestamps
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00:00 Intro
01:15 Topics and framework
02:06 Programming
02:41 Stats
02:57 Visualization
03:13 EDA
03:47 Machine learning
05:34 The best way to learn
06:13 Apply framework to more topics
06:55 ACCOUNTABILITY
08:44 Resources/courses
10:48 How to choose projects
11:29 What I'm gonna do in 2021

📲Socials
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🤯Study with Tina
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Study with Tina channel:

How to make a studying scoreboard:

Scoreboard website:

livestreaming google calendar:

🎥Other videos you might be interested in
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How I consistently study with a full time job:

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

🐈‍⬛🐈‍⬛About me
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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
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youtube: youtube comments are by far the best way to get a response from me!

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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! :)

#DataScience #DataSciencein2021 #TinaHuang

[TinaHuang]

Who's ready for learning data science in 2021!? ✋✋✋

[riyaziqbal]

Just learning enough, moving on and iterating. That’s a great tip. When learning almost anything I tend to go deeper in one of the initial steps and feel stuck.

[emilymicciche]

I've been so stressed about how to best learn data science without wasting time and this is SO helpful!!

[datalyfe]

Love the strategy and the “not getting too deep into one subject” advice. Definitely better to know a bit of everything than only one thing very well, especially for interviews!

[Zonno]

This is pretty much how I went through it as well in the last few years. I actually started web scraping before machine learning, as ML really benefits from good scrapers and database building.

[ftmftm]

I have been learning to be a DS for 1 year. In 2021 I will get my first job and I will be the best 😍

[KenJee_ds]

Great stuff Tina! Love the new mic too. 🐱

[adityashenoy]

Effective yet not too complex Strategy!!! This just saved me from overanalyzing and

[AndrewMoMoney]

Tina coming in with the MAJOR roadmap, keep it up :)

[srushtimishra]

This made my anxiety vanish. Thank you so much 🙏🏻

[paulntalo]

Yeah statquest, I love it too. I am a newbie to DS. I have loved your advice.

[LukeBarousse]

Love this! I like your 4 step framework for iterating and learning data science, couldn't agree more with using projects to learn! Keep up the content!!

[KloneStudios]

How old are you? My daughter wants to know.

[farazhara]

i like that you're so blunt in the video and how it hits home since i also have the same thank you for making this, tina!

[cbrtdgh]

Good video. The amount of content that one could learn before getting start in machine learning is absolutely endless. One class of algorithms might have a whole book. Data science needs to be project based learning!

[ABeardedDad]

This video is soo good. The number 1(!) question I've had in moving into industry when I finish my PhD is "how much do I need to know about X" to get a job.

When you said "variable declaration, loops and OOP" - I was hooked.

Thanks so much for the vid, this was legit one of the most helpful vids I've found on this topic so far!

[SajjaadKhader]

awesome topic! efficiency while learning is what its all about!!

[bensorensen]

Love this - really breaking it down and I love the saying, "Learn just enough" so many times I've started on the - I need to learn everything and then do

[DataProfessor]

Great video, great advice and great resources Tina! Also big thanks for the kind mention 😆I really like the learn just enough and get the ball rolling and take the dive. It's a great way to move forward without procrastinating (which I do a lot at times).

[countessolufunmi]

I discovered your page and I love it. I m getting my full time data science job this year. Speaking it into existence.