Data Analyst - Visualization

Course overview

As a Data Analyst who makes data visible for departments, one regularly faces the question of how to turn numbers into understandable stories. Visualization combines methodical work with communicative clarity. !Course Content !1. Basics of Visual Representation *Perception and Readability *Role of Different Chart Types *Selection Based on Questions !2. Building Individual Visualizations *Dimensions, Key Figures, and Axes *Color and Scale Selection *Labeling and Comments !3. Dashboards and Reports *Combination of Multiple Views *Filter and Interaction Logic *Creating Consistent Layouts !4. Communication and Storytelling *Highlighting Relevant Aspects *Building Data-Driven Narratives *Preparation for Decision-Making Rounds !Professional Relevance *Clear Communication of Complex Results *Efficient Coordination with Departments *Foundation for Fact-Based 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