Ders Açıklaması
Objective:
Enable participants to transform complex data into clear, meaningful, and actionable insights through effective visualization techniques.
1. Foundations of Data Visualization
- Why visualization matters in decision-making
- Data vs information vs insight
- Common mistakes in visualizing data
2. Thinking Before Visualizing
- Defining the purpose: What decision should this support?
- Understanding the audience
- Selecting the right metrics (KPI vs metric)
3. Choosing the Right Visual
- When to use bar, line, pie, scatter, etc.
- Comparing, trending, and distribution
- Avoiding misleading visuals
4. Design Principles for Clarity
- Simplicity and minimalism
- Visual hierarchy and layout
- Effective use of color and labels
5. Data Storytelling
- Structuring a clear narrative
- Highlighting key insights
- Answering the “So what?” question
6. Practical Application
- Analyzing a dataset
- Creating clear and impactful visuals
- Group feedback and improvement
Mevcut Tarihler & Kayıt
