Introduction to Statistics for PhD students (16-17 & 23-24 Mar 2026)
This course gives an overview over some core principles of Statistics. It is best suited for beginners and those who would like to refresh their knowledge about Statistics for their PhD. The course will not cover any advanced topics for statistical modeling.
The course will cover the following topics:
- Type of Experiments
- Descriptive statistics and forms of data visualizations
- Statistical Inference:
- Basics about Statistical Inference
- Point Estimates, Confidence Intervals
- Hypothesis Testing for 1, 2 and more samples (z-test, t-test, ANOVA, nonparametric tests)
- Basics about Regression Analysis
- Basics about Bayesian Inference
The course will take place on 16.-17. and 23.-24. of March, 2026, from 9:30 a.m. to 3:30 p.m. The classes will take place in the Seminarroom 0.104 in Humboldtalle 3.
The afternoon sessions will be dedicated to practical exercises that can be done in groups or individually and in class or at home.
Participants will receive a certificate of attendance if requested. Moreover, there is the option of receiving 1 Credit if submitting all exercises and an additional homework of 3-4 pages.
Registration for the courses will open on 15th of January, 2026. Please register for the course „Seminar: Introduction to Statistics for PhD students“ in stud.ip (Modulenumber: 990058). Attendance is limited to 18 participants.
Contact: Jens Lichter
If you are interested in 1-to-1 statistical consulting or further information about the service please follow this link.