"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
• Basic statistics with R
• ANOVA with R

Machine learning

These courses explore statistical model building in more depth.

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