6  Technical resources for beginner data scientists

6.1 To start with Git and GitHub

Link Recommendation
Codeacademy

6.2 To start programming with R

Link Recommendation
The GRAPH network ⭐ ⭐ ⭐ ⭐ ⭐
The R programing environment ⭐ ⭐ ⭐ ⭐ ⭐
R for Social Scientists

6.3 To interface R with Stata

https://rpubs.com/quarcs-lab/stata-from-Rstudio
https://www.stata.com/features/overview/markdown/
https://ignacioriveros1.github.io/r/2020/03/22/r_and_stata.html
https://www.emmanuelteitelbaum.com/post/stata-and-markdown/
https://www.stata.com/python/pystata/install.html
https://data.princeton.edu/stata/markdown
https://github.com/Hemken/Statamarkdown

6.4 Useful R packages

gtsummary
skimr

6.4.1 Comprehensive lectures

Link Tools Recommendation Pricing
Principles, Statistical and Computational Tools for Reproducible Data Science

R and Rstudio

Python, Git, and GitHub

  • Free (audit track)

  • 99 USD (verified track)
Collaborative Data Science for Healthcare Experience with R, Python and/or SQL is required

  • Free (audit track)

  • 49 USD (verified track)

6.4.2 To start programming with Python

Link Recommendation
Introduction to Computer Science and Programming Using Python ⭐ ⭐ ⭐ ⭐ ⭐