Data Analyst - Descriptive Statistics

Course overview

Descriptive statistics is the foundation of any data-based evaluation in a company. Data analysts use it to make structures in data visible and comparable. !Course Content !1. Measures of Central Tendency and Dispersion *Mean, Median, Mode *Variance and Standard Deviation *Quantiles and Range !2. Distributions and Graphical Representation *Histograms and Boxplots *Skewness and Kurtosis *Identifying Outliers !3. Group Comparisons *Group-specific Metrics *Relative and Absolute Differences *Contextual Placement !4. Preparation for Stakeholders *Selection of Appropriate Metrics *Visualization with a Clear Message *Documentation of Assumptions !Professional Relevance *Descriptive statistics organizes large data sets *Clear presentation avoids misinterpretations *Comparative metrics create a basis for decisions

Upcoming dates

• 2026-07-31T22:00:00.000Z · 2026-08-31T22:00:00.000Z · Hamburg · Combined Learning
• 2026-09-07T22:00:00.000Z · 2026-11-23T23:00:00.000Z · Hamburg · Combined Learning
• 2026-09-07T22:00:00.000Z · 2027-02-09T23:00:00.000Z · Hamburg · Combined Learning
• 2026-09-07T22:00:00.000Z · 2026-11-23T23:00:00.000Z · Bremen · Combined Learning
• 2026-09-07T22:00:00.000Z · 2027-02-09T23:00:00.000Z · Bremen · Combined Learning