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636-0119-00L 6 Credits DR , MSC D-BSSE

Introduction to Statistics and R

Lecturers & Examiners: Dr. Jack Kuipers
VVZ CR n/a

Last Updated: 2026-06-03 00:07:32

Abstract

This course offers a practical introduction to the fundamentals of data analysis and R

Objective

To acquire the statistical understanding to design an appropriate analysis and the practical skills to implement the analysis in R and present the results.

Content

Data analysis is fundamental for arriving at scientific conclusions and testing different hypotheses. This course offers a hands-on introduction to statistical analyses including: exploratory data analysis, testing differences in populations, p-values, power calculations, multiple testing, confounding, linear regression, maximum likelihood, model selection, and logistic regression; along with the fundamentals of R programming including markdown and data handling with the tidyverse.

Resources

Lecture Notes

Lecture slides will be available

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 20 minutes
Final grade: 62.5% oral examination, 37.5% project work.Project work has to be re-done in case of repetition.The course includes compulsory continuous performance assessments in the form of project work/assignments, which constitute 37.5% of the final grade.

Course Components

Type Title Time & Place Hours
lecture with exercise Introduction to Statistics and R
This lecture will take place in classroom in BASEL. Attention: the lecture starts in the second week of the semester.
No time listed 3 h weekly
independent project Introduction to Statistics and R
Project Work (Compulsory continuous performance assessments), no fixed presence required.
No time listed 2 h weekly

Offered In