"It's easy to lie with statistics. It's hard to tell the truth without it."
— Andrejs Dunkels, Latvian-Swedish mathematician

Data science in biology

These courses address the principles of data analysis in biology. You may "bring your own data" to some of them.

Foundational courses

Start with these lectures to gain a solid understanding of the basics of statistical analysis in a biological context.

• Quick introduction to data analysis
• Basic statistics with Python
• Think Statistics with R
• ANOVA with R
• Bayesian statistics with R

Machine learning

"Machine learning" means different things to many people. If we peel off the hype, statistical models remain. We offer in-depth courses that teach you statistical model building in a biological context.

Regression techniques

• Linear regression with R
• Nonlinear regression with R
• Generalized linear models with R

Planned courses

• Clustering methods
• Classification methods
• Regression with artificial neural networks

Obsolete courses

These courses are not offered any longer.

• RNA-Seq data analysis
• Biocybernetics