Single-Course English 5 ECTS

Applied Statistics and Statistical Software

Overall Course Objectives

To acquaint the participants with statistical work on a practical problem, typically involving many data. Descriptive methods are presented. The statistical analyses are carried out using modern statistical software (R).

Learning Objectives

  • Formulate and apply some commonly used statistical models
  • Able to interpret the results from some simple statistical models
  • Perform model validation
  • Perform estimation, hypothesis testing, and prediction by means of some simple statistical models
  • Perform simple statistical analysis by means of statistical software
  • Interpret the output from statistical software
  • Adequately interpret the results of statistical analysis
  • Perform data wrangling, i.e. prepare raw data for statistical analysis
  • Write a report describing the results of statistical analysis to people without background in statistics

Course Content

A project assignment based on an actual problem from a research institute or a company will be part of the course. The statistical software R will be used to analyse the data.

Recommended prerequisites

02402/02403/02323, An introductory course in statistics (Including limited experience with R)

Teaching Method

Lectures and excercises (integrated) and solution of practical assignments.


The students learn how to make statistical analysis by means of the statistical software R. Further, the course is an introduction to other statistics courses, e.g. 02409 and 02424.

Limited number of seats

Maximum: 60.

Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.

See course in the course database.





3 weeks




DTU Lyngby Campus

Course code 02441
Course type Candidate
Semester start Week 1
Semester end Week 35
Days Mon-fri 8:00-17:00

7.500,00 DKK

Please note that this course has participants limitation. Read more