Data Science with R, RMarkdown, RStudio, Git, GitHub
Unit 1
Unit 2
Lab 02: Data visualization
Lab 03: Data wrangling
Lab 04: Spatial data wrangling & visualization
Lab 05: Effective data visualization
Lab 06: Simpson's paradox
Lab 07: Work on projects
Unit 4
Lab 10: Modelling data
Lab 11: Classification and model building
Lab 12: Model validation
Lab 13: Uncertainty quantification
Unit 5
Lab 14: Text analysis
Lab 15: Bayesian inference
Library
- R for Data Science (2e): https://r4ds.hadley.nz/
- Statistical Inference via Data Science: https://moderndive.com/index.html
- Posit Cheatsheets: https://posit.co/resources/cheatsheets/
- Git Guide: https://github.com/git-guides
Licence
Materials are madified version of datasciencebox under Creative Commons Attribution-ShareAlike 4.0 International Public License