Lab Sessions - Introduction to Data Science

Lab Sessions | Instructors | License

Lab Sessions

1. Introduction, R basics and best practice [.html | .Rmd]
2. Version control and project management [.html | .Rmd]
3. R and the tidyverse [.html | .Rmd]
4. Functions, iteration and data bases [.html | .Rmd]
5. Web scraping with R [.html | .Rmd]
6. Modelling with R [.html | .Rmd]
7. Visualization in R [.html | .Rmd]
8. Working with the Shell [.html | .Rmd]
9. Debugging and Packaging in R [.html | .Rmd]
10. Interactive Web Applications with Shiny [.html | .Rmd]

Instructors

The lab sessions to the course Introduction to Data Science by Simon Munzert at the Hertie School, Berlin, are taught by Lisa Oswald and Tom Arend.

License

The material in this repository is made available under the MIT license.