Master Data Science: A Learning Guide π
Learn how to start your data science journey in 2021, whether for fun, career, or understanding data better.

Data Professor
109.2K views β’ Feb 11, 2021

About this video
Here's a video on how to learn data science in 2021. Whether you want to learn data science for leisure, to become a data scientist or to make sense of data, this video is for you. I will be sharing my best tips on how you can get started in learning data science. I have researched and distilled the essential best practices of what you can do to jump start your journey of learning data science.
β Timeline
Introduction (0:00)
The Art of Learning Data Science is comprised of 4 steps: Plan, Learn, Build and Explain. (3:33)
πStep 1 - Plan (4:14)
- Set learning goals (4:24)
- Create your own personal data science curriculum (5:57)
- Making a schedule (20:00)
- Consistency (20:30)
- Accountability (21:14)
πStep 2 - Learn (22:09)
- Learning resources (22:20)
- Learn just enough to start building (25:17)
- Apply Pomodoro to manage learning time (27:56)
- Minimize stuck time (get stuck? move on and come back to it later) (28:23)
πStep 3 - Building (29:29)
- Work on work-related projects (29:42)
- Work on weekend projects (30:09)
- Use public datasets or compile your own (e.g. web scraping) (30:29)
- Compete on Kaggle (30:35)
π Step 4 - Explain (30:47)
- Explain your model to others (31:26)
- Teach others (Feynman technique) (31:35)
- Mentor others (31:40)
- Write blog posts (31:46)
- Build well documented GitHub repository (31:50)
- Make YouTube videos (31:55)
- Give talks at meetups, conferences and podcasts (31:57)
- Draw infographics (32:16)
Other YouTube videos on learning data science from my friends and fellow YouTubers
π@KenJee_ds - How I Would Learn Data Science (If I Had to Start Over) https://youtu.be/4OZip0cgOho
π@KenJee_ds - How I Would Learn Data Science in 2021 (What Has Changed?) https://youtu.be/41Clrh6nv1s
π@AndrewMoMoney and @KenJee_ds - How We Would Learn Data Science in 2021 (If We Had to Start Over) (ft. @Ken Jeeβ) https://youtu.be/0v_rmxfh6s8
π@krishnaik06 How To Learn Data Science Smartly? https://youtu.be/csG_qfOTvxw
π@codebasics Learn data science for beginners (How to learn data science for free)? https://youtu.be/Vn_mmOuQkSA
π@TinaHuang1 How to learn data science in 2021 (the minimize effort maximize outcome way) https://youtu.be/Axu4tJl8gbM
π@mrdbourke - 2020 Machine Learning Roadmap (still valid for 2021) https://youtu.be/pHiMN_gy9mk
--------------------
π Subscribe to this YouTube channel https://www.youtube.com/dataprofessor?sub_confirmation=1
β Playlist:
Check out our other videos in the following playlists.
β Data Science 101: https://bit.ly/dataprofessor-ds101
β Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast
β Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
β Bioinformatics: http://bit.ly/dataprofessor-bioinformatics
β Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox
β Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
β Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
β Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab
β Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
β Python Data Science Project: https://bit.ly/dataprofessor-python-ds
β R Data Science Project: https://bit.ly/dataprofessor-r-ds
β Weka (No Code Machine Learning): http://bit.ly/dp-weka
#artoflearningdatascience #learndatascience #66daysofdata #datascience #machinelearning #python #bigdata #datamining #bigdata #datascienceworkshop #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #dataprofessor #ai #datascientist
β Timeline
Introduction (0:00)
The Art of Learning Data Science is comprised of 4 steps: Plan, Learn, Build and Explain. (3:33)
πStep 1 - Plan (4:14)
- Set learning goals (4:24)
- Create your own personal data science curriculum (5:57)
- Making a schedule (20:00)
- Consistency (20:30)
- Accountability (21:14)
πStep 2 - Learn (22:09)
- Learning resources (22:20)
- Learn just enough to start building (25:17)
- Apply Pomodoro to manage learning time (27:56)
- Minimize stuck time (get stuck? move on and come back to it later) (28:23)
πStep 3 - Building (29:29)
- Work on work-related projects (29:42)
- Work on weekend projects (30:09)
- Use public datasets or compile your own (e.g. web scraping) (30:29)
- Compete on Kaggle (30:35)
π Step 4 - Explain (30:47)
- Explain your model to others (31:26)
- Teach others (Feynman technique) (31:35)
- Mentor others (31:40)
- Write blog posts (31:46)
- Build well documented GitHub repository (31:50)
- Make YouTube videos (31:55)
- Give talks at meetups, conferences and podcasts (31:57)
- Draw infographics (32:16)
Other YouTube videos on learning data science from my friends and fellow YouTubers
π@KenJee_ds - How I Would Learn Data Science (If I Had to Start Over) https://youtu.be/4OZip0cgOho
π@KenJee_ds - How I Would Learn Data Science in 2021 (What Has Changed?) https://youtu.be/41Clrh6nv1s
π@AndrewMoMoney and @KenJee_ds - How We Would Learn Data Science in 2021 (If We Had to Start Over) (ft. @Ken Jeeβ) https://youtu.be/0v_rmxfh6s8
π@krishnaik06 How To Learn Data Science Smartly? https://youtu.be/csG_qfOTvxw
π@codebasics Learn data science for beginners (How to learn data science for free)? https://youtu.be/Vn_mmOuQkSA
π@TinaHuang1 How to learn data science in 2021 (the minimize effort maximize outcome way) https://youtu.be/Axu4tJl8gbM
π@mrdbourke - 2020 Machine Learning Roadmap (still valid for 2021) https://youtu.be/pHiMN_gy9mk
--------------------
π Subscribe to this YouTube channel https://www.youtube.com/dataprofessor?sub_confirmation=1
β Playlist:
Check out our other videos in the following playlists.
β Data Science 101: https://bit.ly/dataprofessor-ds101
β Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast
β Data Science Virtual Internship: https://bit.ly/dataprofessor-internship
β Bioinformatics: http://bit.ly/dataprofessor-bioinformatics
β Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox
β Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit
β Shiny (Web App in R): https://bit.ly/dataprofessor-shiny
β Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab
β Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas
β Python Data Science Project: https://bit.ly/dataprofessor-python-ds
β R Data Science Project: https://bit.ly/dataprofessor-r-ds
β Weka (No Code Machine Learning): http://bit.ly/dp-weka
#artoflearningdatascience #learndatascience #66daysofdata #datascience #machinelearning #python #bigdata #datamining #bigdata #datascienceworkshop #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #dataprofessor #ai #datascientist
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Video Information
Views
109.2K
Likes
3.4K
Duration
32:56
Published
Feb 11, 2021
User Reviews
4.7
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