Schedule

	Setup	Download files required for the lesson
09:00	1. Introduction	How do you prepare and investigate your data? How do you visualise your data? How do you choose what test/model to use? How do you check that your model performed correctly? How do you interpret the results of your model?
09:30	2. Preparing and Investigating Data	What to do before you can bring the data into R?
11:00	3. Testing differences in categories
12:30	4. Correlation and Covariance
14:00	5. Regression
15:30	6. Mixed Effects Models	How do you analyse data if observations are not independent of each other?
17:00	7. Regression
18:30	8. Introduction to Bayesian Statistics
20:00	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.