Statistics for Data Science - Fundamentals

Course overview

Statistics supports analysis and modeling by structuring and verifying data descriptions. Data is collected, cleaned, and prepared using SQL, Power Query, and Python. Statistical metrics such as distributions, measures of central tendency and dispersion, as well as correlations help to identify relevant patterns. These fundamentals serve as a starting point for data science models and analytical questions. The goal is to establish a robust foundation for decision-making and modeling processes.

Upcoming dates

• 2026-09-13T22:00:00.000Z · 2027-05-24T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-13T22:00:00.000Z · 2027-05-24T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-13T22:00:00.000Z · 2027-05-24T22:00:00.000Z · Stuttgart · Hybrid Learning
• 2026-09-13T22:00:00.000Z · 2027-05-24T22:00:00.000Z · Nürnberg, Mittelfranken · Hybrid Learning
• 2026-09-13T22:00:00.000Z · 2027-05-24T22:00:00.000Z · Düsseldorf · Hybrid Learning