Statistical Programming with 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:

  1. An introduction to the R environment.
  2. Basic to advanced programming skills: data generation, manipulation, pipelines, summaries and plotting.
  3. Fitting statistical models: estimation, prediction and testing.
  4. Drawing statistical inference from data.
  5. Basic statistical learning techniques.
  6. 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.

Please see above or at the resource's page regarding the license.
Created by Cyrille M├ędard de Chardon
on 2024-07-15