How I would learn to code (If I had to start over)
In this video, I share my 8 step approach of learning to code if I were to start over again given that sitations had changed significantly from the time when I learned to code.
Previously, I've made a shorts video on the one thing that had helped me in self-teaching myself to code ( • This ONE thing helped me learn to CODE ).
A brief intro about me: I'm currently working in tech as a Senior Developer Advocate of an open source library. Prior to this, I made the transition from academia where I was an ex-Professor of Bioinformatics teaching and doing research for 15 years on computational drug discovery.
🐦 Connect on Twitter / thedataprof
Timeline
0:00 Introduction
0:12 Choose a programming language
1:43 Learning resources
3:03 Start with the basics
4:21 Practice, practice, practice
4:59 Getting unstuck
6:35 Learn in public
7:50 Participate in coding challenges
8:52 Help others
Special thanks to my YouTuber friends (@KenJee_ds and @TinaHuang1 ) for the idea of making this video, who had both already made legendary videos on How I would learn data science ( • How I Would Learn Data Science (If I ... ) and How I would learn to code ( • How I would learn to code (if I could... ).
Support my work:
👪 Join as Channel Member:
/ @dataprofessor
✉️ Newsletter http://newsletter.dataprofessor.org
📖 Join Medium to Read my Blogs / membership
☕ Buy me a coffee https://www.buymeacoffee.com/dataprof...
Recommended Resources
📚 Books https://kit.co/dataprofessor
😎 Taro (Tech Career Mentorship) https://www.jointaro.com/r/dataprofes...
📜 Google Data Analytics Professional Certificate https://click.linksynergy.com/deeplin...
🤔 Interview Query https://www.interviewquery.com/?ref=d...
🖥️ Stock photos, graphics and videos used on this channel https://1.envato.market/c/2346717/628...
Subscribe:
🌟 Coding Professor / @codingprofessor
🌟 Data Professor https://www.youtube.com/dataprofessor...
Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.
#datascience #machinelearning #dataprofessor
