Explanatory Data Analysis group
Statistics for Computer Scientists
- Prospectus
- 25-26,24-25,23-24,22-23,21-22,20-21,19-20,18-19,17-18,16-17
- Level
- BSc, 6 EC
- Part of
- BSc Data Science & Artificial Intelligence, BSc Computer Science
- Lecturers
- Matthijs van Leeuwen, Marieke Vinkenoog
- For students
- All material, including slides and exercises, and announcements will be communicated through Brightspace.
- Contents
In this course, we cover the basics of statistics, the fundamental 'data science' that researches the description and analysis of data. The focus is on learning how to correctly apply statistical methods, not on their mathematical justification.
The following provides a high-level overview of the contents of the course:
- Introduction
- Data and probability
- Descriptive statistics
- Random variables and probability distributions
- Estimation and expectation
- Hypothesis testing
- Comparing two groups
- Assocations between categorical variables
- Regression and correlation
- Multiple regression and correlation
- Analyse the analysis