Statistical Programming with R
Resource URL: https://laurencefrank.github.io/R/
Statistical Programming with R is a comprehensive five day course run by
Utrecht University - Faculty of Social and Behavioural Sciences and directed by Dr. Laurence E. Frank.
The course is part of a Data Science series offered by Utrecht University.
The course covers the following specific topics:
- An introduction to the R environment.
- Basic to advanced programming skills: data generation, manipulation, pipelines, summaries and plotting.
- Fitting statistical models: estimation, prediction and testing.
- Drawing statistical inference from data.
- Basic statistical learning techniques.
- Bootstrapping and Monte Carlo simulation.
This course introduces both programming and advanced statistics together. These topics individually can be quite challenging. Completing this course requires a serious time commitment and could be adapted as full term course (which some institutions do offer).
A comparable course is available on Coursera through Johns Hopkins University.