Objective: 

Enable participants to transform complex data into clear, meaningful, and actionable insights through effective visualization techniques.

Core Modules

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