This repository will host all the course material for the course. All material and software used in this course will be open-source.

Instructor: Kishore Hari

Email: [email protected]

• Introduction to R manual on CRAN : https://cran.r-project.org/doc/manuals/R-intro.pdf
• R for Data Sciences by Hadley Wickham and Garett Grolemund : https://r4ds.had.co.nz/
• R programming for Data Science by Roger D Peng : https://leanpub.com/rprogramming, https://bookdown.org/rdpeng/rprogdatascience/

• Hands-On Programming with R by Garrett Grolemund : https://rstudio-education.github.io/hopr/index.html
• Swirl R, a package for interactive learning of R language : https://swirlstats.com/
• R markdown, a package to generate reports and write code and text together : https://bookdown.org/yihui/rmarkdown-cookbook/

• Introduction to R manual (https://cran.r-project.org/doc/manuals/R-intro.pdf): Chapters 1,2,3,5,6,7, 9,10
• R for datasciences (https://r4ds.had.co.nz/): Chapters 1-7 (8 optional), 11, 14, 18,19,20 (19 and 20 are revision from previous book), 27.

1. run the command install.packages("swirl")
2. run the commans swirl()
3. Follow the instructions on the screen, and when you get the option, chose the course "R Programming: The basics of programming in R"
4. Go through lessons 1 to 9.

1. https://michaelgastner.com/DAVisR2021/
2. http://r-tutorials.com
3. https://www.r-exercises.com/start-here-to-learn-r/ : A topic by topic description followed by exercises to give you a hands-on experience.