- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- Data
Data Visualization Foundations
Data visualization is the practice of representing data graphically to identify trends, patterns, and insights. This learning path introduces the foundational concepts and principles of effective data visualization, including visual storytelling, chart types, design best practices, and accessibility and ethics. Learners interested in this path will explore how to choose the right visuals for different data types and audiences, laying the foundation for work in visualization tools like Tableau, Power BI, and Python.
Content in this path
Data Visualization Theory
Watch the following courses to learn the concepts and design principles behind good data visualizations.
Data Visualization Practical Application
Now that you've learned about the foundational concepts that drive good data visualization, put your new skills to work and practice making real-world data visualizations in Python.
- Core concepts of data visualization
- Visual design principles for data visualization
- Chart types for data visualization
- Accessibility and ethics for data visualization
- Storytelling and dashboards for data visualization
- There are no required skills needed to learn from this content. However, learners interested in this path can benefit from basic data literacy and Excel or spreadsheet skills.
- Data analysis
- Tableau
- Power BI
- Python
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