How to learn data science with Coursera in 2022 (beginner-friendly)
This video details how to create your own beginner-friendly curriculum using Notion to learn Python, data science and machine learning on Coursera in 2022.
Get $100USD off Coursera Plus yearly (before Jan 31 2022) - https://dbourke.link/coursera-plus-2022-deal
Notion data science curriculum template - https://dbourke.link/coursera-notion-template-2022
Blog post version - https://www.mrdbourke.com/how-to-learn-data-science-on-coursera-in-2022/
Note: Coursera links are affiliate links which means if you click one and buy something, I may get money from it. This doesn't change the price. I'll use the funds to create more materials like this one.
Others links:
Learn ML (beginner-friendly courses I teach) - https://www.mrdbourke.com/ml-courses/
ML courses/books I recommend - https://www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks - https://www.charliewalks.com
Connect elsewhere:
Web - https://dbourke.link/web
Twitter - https://www.twitter.com/mrdbourke
Twitch - https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) - https://dbourke.link/archive-channel
Get email updates on my work - https://dbourke.link/newsletter
Timestamps:
0:00 - Intro
0:42 - Overview of what we’re covering
1:05 - Coursera Plus
2:11 - Defining different data roles (data scientist vs. data analyst)
3:12 - What is machine learning?
3:38 - Curriculum outline (beginner, bonus, advanced)
4:16 - Curriculum outline (beginner courses for Python, data science and machine learning)
5:16 - Course 1: Learning How to Learn
6:01 - Course 2: Python for Everybody
6:52 - Course 3: Applied Data Science with Python
7:46 - Course 4: Machine Learning Specialization
8:30 - Special mention: Andrew Ng’s classic machine learning course
8:59 - Course 5: Mathematics for Machine Learning
9:39 - Bonus 1: Google’s Introduction to Git and GitHub
10:31 - Bonus 2: “How does a beginner data scientist like me get experience?”
11:05 - Notion curriculum creation walkthrough
#datascience #machinelearnin
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Chapters (16)
Intro
0:42
Overview of what we’re covering
1:05
Coursera Plus
2:11
Defining different data roles (data scientist vs. data analyst)
3:12
What is machine learning?
3:38
Curriculum outline (beginner, bonus, advanced)
4:16
Curriculum outline (beginner courses for Python, data science and machine lear
5:16
Course 1: Learning How to Learn
6:01
Course 2: Python for Everybody
6:52
Course 3: Applied Data Science with Python
7:46
Course 4: Machine Learning Specialization
8:30
Special mention: Andrew Ng’s classic machine learning course
8:59
Course 5: Mathematics for Machine Learning
9:39
Bonus 1: Google’s Introduction to Git and GitHub
10:31
Bonus 2: “How does a beginner data scientist like me get experience?”
11:05
Notion curriculum creation walkthrough
🎓
Tutor Explanation
DeepCamp AI