Gain insights into using Python Altair for data storytelling. Learn about the DIKW pyramid and craft interactive visualizations to effectively convey complex ideas and narratives through data.

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Tool Z Familiarity

Altair, a versatile Python library, empowers you to craft visually compelling and interactive data visualizations. Acquiring proficiency in Altair unlocks new avenues for effectively conveying insights and narratives through data.

The course begins by introducing the concept of data storytelling and the DIKW pyramid. Then, you’ll learn why Altair is a valuable tool for developers interested in data storytelling and how it can enhance their ability to effectively communicate complex ideas. Next, the course takes a sequential approach to cover the DIKW model for data storytelling, which provides a structured framework for organizing and presenting data narratives. Finally, you’ll implement two practical use cases.

After taking this course, you’ll have acquired the skills and knowledge to build compelling data stories that combine Altair and the DIKW pyramid. You will be able to create engaging and impactful visualizations that effectively convey insights and build narratives from data.

Using Python Altair for Data Storytelling

Learn how to credit images and data sources in an Altair chart.

What is Data Storytelling?

Using Altair for Data Storytelling

The DIKW Pyramid

Introducing the Concept of Data

Visualize Geospatial Data Using Plotly and Mapbox

Getting Familiar with Unknown Data

Assessment 1

Data Visualization Using Plotly.js

Introducing the Concept of Information

Data Modeling

Knowledge

Wisdom

Assessment 2

Case Studies

Wrap Up

Appendix

Crediting Images and Data Sources

Why should we credit images and data sources?