Learn New Skills for Academia

Principles and examples for upskilling in academia.
These are the principles I use to continually learn new skills for my academic career, including how to code, data visualization, qualitative and quantitative analyses, and more.
If you have any of your own principles, let me know in the comments.

Subscribe for more videos: https://www.youtube.com/c/StuartMcErlainNaylor1?sub_confirmation=1

Tutorial videos:
Apply sample size calculations: https://youtu.be/veaEDIM13Ks
Use Mendeley Reference Manager: https://youtu.be/rJl0DC2uyi0
Ten Statistical Mistakes in 5 Min: https://youtu.be/hlVl1dJE4GE
Remember Type 1 & Type 2 Errors: https://youtu.be/985KQG-8QV8
Improve your scientific writing: https://youtu.be/PjhmDH3u98w
Learn statistics fundamentals: https://youtu.be/LKiX54NglCo
Learn Bayesian statistics: https://youtu.be/_nQuvJyfvfU
Apply Statistical Parametric Mapping (SPM): https://youtube.com/playlist?list=PLI7VLEjUJidBBtyWFcZYF7f8t8IgMT9cg

Web: https://www.stuartmcnaylor.com
Twitter: https://twitter.com/biomechstu
Monthly newsletter: https://www.stuartmcnaylor.com/newsletter/

Image credits:
Evergreen image: dulcecaramia, CC0, via Wikimedia Commons
Automation image: chombosan / Shutterstock
Plate image: original https://foto.wuestenigel.com/a-small-piece-of-green-broccoli-on-a-white-plate-as-a-symbol-of-weight-loss/ and license: https://creativecommons.org/licenses/by/2.0/