What You Need to Know Before
You Start
Starts 3 June 2025 14:46
Ends 3 June 2025
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20 minutes
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Overview
Learn best practices for creating clean, aesthetic data visualizations to aid business understanding, tell compelling stories, and drive sustainable decisions.
Syllabus
- Introduction to Visual Design for Data
- Principles of Effective Data Visualization
- Data Selection and Preparation
- Tools and Technologies
- Crafting Compelling Visual Stories
- Designing Aesthetic Visuals
- Case Studies and Applications
- Evaluating and Improving Visualizations
- Ethical Considerations in Data Visualization
- Final Project and Presentation
- Course Review and Future Directions
Overview of data visualization in business
Importance of storytelling with data
Understanding your audience
Simplicity and clarity
Choosing the right chart type
The role of color and contrast
Identifying key metrics
Cleaning and organizing data for clarity
Avoiding misleading representations
Overview of popular data visualization tools (e.g., Tableau, Power BI)
Introduction to advanced visualization libraries (e.g., D3.js, Plotly)
Hands-on session: Building basic visualizations with chosen tools
Structuring stories for maximum impact
Integrating narrative with data visualization
Examples of successful visual storytelling
Advanced techniques for refining design
Balancing aesthetics with functionality
Incorporating branding and style guidelines
Real-world examples of effective data visualizations
Analysis of successful and flawed designs
Hands-on group project
Techniques for receiving and incorporating feedback
Iterative design process
Measuring the impact of visualizations
Avoiding bias and distortion
Transparency and accuracy
Respecting user privacy
Apply concepts to create a comprehensive data visualization project
Present final projects to the class for feedback and discussion
Summary of key takeaways
Emerging trends in data visualization
Resources for continued learning and improvement
Subjects
Data Science