Python and Machine Learning

Course overview

The training course Python and Machine Learning integrates statistics for the analysis and verification of measurement data with machine learning, which generates artificial knowledge from experiences. The first part explains statistical methods that allow for the comparison of two or more groups, practices the use of statistical software, and provides an introduction to experimental design. The second part covers the application areas, categories, and fundamental concepts of machine learning. Statistics Statistical fundamentals Methods for comparing two groups Methods for comparing means of multiple groups Introduction to experimental design (DoE, Design of Experiments) Artificial Intelligence (AI) in the work process Project work in statistics Machine Learning Introduction to machine learning Supervised learning Unsupervised learning Evaluation and optimization of models Project work in machine learning

Upcoming dates

• 2026-08-30T22:00:00.000Z · 2026-11-28T23:00:00.000Z · München · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-02-27T23:00:00.000Z · München · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Wuppertal · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2027-02-27T23:00:00.000Z · Wuppertal · Hybrid Learning
• 2026-08-30T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Wiesbaden · Hybrid Learning