Learning Resources

You are welcome to use the JupyterHub outside of the HackHours and workshops in order to facilitate your data science and cloud-computing learning. Here are some ideas:

Python

• Udemy, Coursera, and DataCamp are popular platforms that have data science courses.
  • I did Python for Data Science and Machine Learning Bootcamp in Udemy
• The same have deep-learning and ML courses
• Harvard https://pll.harvard.edu/catalog and MIT https://ocw.mit.edu/search/?q=python have lots of free material
• Geosciences
  • https://cookbooks.projectpythia.org/
  • https://nasa-openscapes.github.io/earthdata-cloud-cookbook/
  • https://ioos.github.io/ioos_code_lab/content/intro.html
  • https://github.com/coastwatch-training/CoastWatch-Tutorials
  • https://github.com/NASAARSET
  • https://earth-env-data-science.github.io/intro.html

R

• Udemy, Coursera, and DataCamp are popular platforms that have data science courses.
• Geosciences
  • https://github.com/USGS-R
  • https://pmarchand1.github.io/atelier_rgeo/rgeo_workshop.html
  • https://datacarpentry.github.io/r-raster-vector-geospatial/
  • https://r.geocompx.org/
  • https://bookdown.org/mcwimberly/gdswr-book/
  • https://rspatial.org/index.html