Data Visualization
Offered By: University of Illinois at Urbana-Champaign via Coursera
Course Description
Overview
This course will teach you how to make more effective visualizations of data. Not only will you gain deeper insight into the data, but you will also learn how to better communicate that insight to others. You will learn new ways to display data, applying some fundamental principles of design and human cognition to choose the most effective way to display different kinds of data. This course not only teaches you how to use popular applications like Tableau to connect to data warehouses to extract and visualize relevant data, but also teaches you how Tableau works so you can use the same techniques to make effective data visualizations on your own with any visualization system.
Syllabus
- Course Orientation
- You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
- Week 1: The Computer and the Human
- In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information.
- Week 2: Visualization of Numerical Data
- In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective.
- Week 3: Visualization of Non-Numerical Data
- In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set.
- Week 4: The Visualization Dashboard
- In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system.
Taught by
John Hart
Tags
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