Learn about planning your work, choosing the appropriate statistical analysis method, and interpreting and validating the results. You will also receive valuable tips on avoiding common pitfalls, illustrated with typical real-life cases.

You will learn to handle R and the statistical models necessary to work independently on your own analyses. Get started with using R this spring’s with our online courses!

October 22–23, on Zoom

Introduction to R
Handling data
Data visualisation
Descriptive statistics

Introduction to modern statistics
Statistical concepts
Classical statistical methods
Modern statistical methods

Find out more about R 1

November 5–6, on Zoom

Linear regression & ANOVA
Linear regression
ANOVA

Advanced regression models
Generalised linear models
Survival analysis
Mixed models

Find out more about R 2

November 26–27, on Zoom

Visualisation & data exploration
Visualisation
Dimension reduction with PCA

Cluster analysis & structural equation models
Cluster analysis
Factor analysis
SEM
Mediation analysis

Find out more about R 3

Course leader

Highly esteemed educator with a broad statistical expertise
Måns Thulin works as a consultant and lecturer in statistics, machine learning, and artificial intelligence. He has twelve years of experience in teaching at institutions such as Uppsala University and the University of Edinburgh and is the author of the popular textbook Modern Statistics with R. Måns’s pedagogical goal is to help all course participants understand the methods of statistics – statistics should feel logical and not like black magic.

About R

Today, R is a very popular program for statistical analysis with over two million active users. One reason for this is that program development is constantly advancing through user-created packages that are both easy to install and use.

Since R is open-source software, you can also use code that others have developed in your own projects without paying license fees. The fact that R is available at no cost, as free software, has likely also been a driving factor behind its increasing popularity.

Find out more about our R courses