Courses

Introductory data analysis

Course overview

Introductory M.Sc. level statistics course covering descriptive and inferential statistics.

Course content

  • Introductory Data Analysis | lectures
  • Introductory Data Analysis | exercises

Prerequisites

Basic skills in statistics as they are offered in an informatics bachelor program. Students should be able to perform the most important methods of inferential statistics in line with some real-world problems and to interpret and assess the results of basic statistical methods.

Learning outcomes

After completing the course, students will be able to:

  • Confidently assess the usage of various methods of univariate and bivariate statistics in the application context.
  • Know and understand different probability concepts: distributions, statistical models, testing procedures and principles.
  • Apply methods to selected real world situations.
  • Use the computer to solve problems in real world situations.
  • Understand and judge results of statistical analysis.
  • Be aware of dangers of misuse and misinterpretation.
  • Use statistical language, i.e. explain procedures, results of an analysis and a critique of the results.
  • Work scientifically.

Enrollment

Enroll

Course information

Category

Digital skills

Format

Online

Target groups

U!REKA students

Academic year

Starting month

Language

English

Duration​

October 2026-Februar 2027

Organising institution​

Frankfurt University of Applied Sciences

Places reserved for U!REKA participants​

5

Assessment

Oral examination (90 minutes)

Credit/degree/certificate

5 ECTS credits

Course fee

None

Prerequisites

Basic skills in statistics as they are offered in an informatics Bachelor program.
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