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Starts 3 June 2025 14:46

Ends 3 June 2025

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Visual Design - Do Not Let Data Be Your Cul-de-sac

Learn best practices for creating clean, aesthetic data visualizations to aid business understanding, tell compelling stories, and drive sustainable decisions.
Data Science Festival via YouTube

Data Science Festival

2416 Courses


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
  • Overview of data visualization in business
    Importance of storytelling with data
    Understanding your audience
  • Principles of Effective Data Visualization
  • Simplicity and clarity
    Choosing the right chart type
    The role of color and contrast
  • Data Selection and Preparation
  • Identifying key metrics
    Cleaning and organizing data for clarity
    Avoiding misleading representations
  • Tools and Technologies
  • 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
  • Crafting Compelling Visual Stories
  • Structuring stories for maximum impact
    Integrating narrative with data visualization
    Examples of successful visual storytelling
  • Designing Aesthetic Visuals
  • Advanced techniques for refining design
    Balancing aesthetics with functionality
    Incorporating branding and style guidelines
  • Case Studies and Applications
  • Real-world examples of effective data visualizations
    Analysis of successful and flawed designs
    Hands-on group project
  • Evaluating and Improving Visualizations
  • Techniques for receiving and incorporating feedback
    Iterative design process
    Measuring the impact of visualizations
  • Ethical Considerations in Data Visualization
  • Avoiding bias and distortion
    Transparency and accuracy
    Respecting user privacy
  • Final Project and Presentation
  • Apply concepts to create a comprehensive data visualization project
    Present final projects to the class for feedback and discussion
  • Course Review and Future Directions
  • Summary of key takeaways
    Emerging trends in data visualization
    Resources for continued learning and improvement

Subjects

Data Science