Bayesian data analysis

Max amount of FITech students: 100

Persons without a valid study right to a Finnish university have preference to this course.

Mastering the prerequisite skills is very important in order to complete this course.

Course content:

• Bayesian probability theory and bayesian inference
• Bayesian models and their analysis
• Computational methods, Markov-Chain Monte Carlo

After the course, the student

• can explain the central concepts in Bayesian statistics, and name steps of the Bayesian modeling process.
• can recognize usages for common (i.e. those presented during the course) statistical models, and formulate the models in these situations.
• can compare the most popular Bayesian simulation methods, and implement them.
• can use analytic and simulation based methods for learning the parameters of a given model.
• can estimate the fit of a model to data and compare models.

More information on Aalto University’s WebOodi course page.

You can get a digital badge after completing this course.