Fundamentals of Data Visualization
Data is everywhere. Charts, graphs, and other types of information visualizations help people to make sense of this data. This course explores the design, development, and evaluation of such information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience with creating visualizations, using exploratory tools, and architecting data narratives.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 15 hours
- Course by University of Colorado Boulder
-
Offered by
About
Data is everywhere. Charts, graphs, and other types of information visualizations help people to make sense of this data. This course explores the design, development, and evaluation of such information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience with creating visualizations, using exploratory tools, and architecting data narratives. Topics include user-centered design, web-based visualization, data cognition and perception, and design evaluation. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Modules
Course Introduction
-
1
Videos
-
3
Readings
-
1
Discussion
1
Discussions
- Introduce Yourself
1
Videos
- Course Overview
3
Readings
- Earn Academic Credit for your Work!
- Course Support
- Assessment Expectations
Anatomy of a Visualization
-
2
Videos
-
2
Readings
2
Videos
- Why Visualization?
- A Grammar of Graphics
2
Readings
- A Tour Through the Visualization Zoo
- Data Humanism: The Revolutionary Future of Data Visualization
Introduction to Altair
-
3
Videos
-
3
Readings
-
1
Lab
1
Labs
- Introduction to Altair
3
Videos
- Introduction to Altair
- Hands on with Altair - Part 1
- Hands on with Altair - Part 2
3
Readings
- Vega-Lite: A Grammar of Interactive Graphics
- Workshop Overview of Altair Basics
- Exploratory Data Visualization with Altair
Visual Mapping
-
3
Videos
-
2
Readings
3
Videos
- Mapping Basics
- Mapping Tips
- Color
2
Readings
- The Structure of the Information Visualization Design Space
- Extra Resources: Data Types, Graphical Marks, and Visual Encoding Channels
Ethical Visualization Choices
-
1
Videos
-
3
Readings
1
Videos
- Rules of Thumb
3
Readings
- The Good, the Bad, and the Biased
- Extra Resources: WTF Visualizations
- Extra Resources: Ethical Dimensions of Visualization Research
Interaction
-
3
Videos
-
1
Readings
-
1
Lab
1
Labs
- Implementing Interaction in Altair
3
Videos
- Introduction to Interaction
- Interactions Part 1
- Interactions Part 2
1
Readings
- Toward a Deeper Understanding of the Role of Interaction in Information Visualization
Assessments
-
1
Discussion
-
1
Quiz
1
Discussions
- Visualization Project Part 1: Finding your Data
1
Quiz
- Week 1 Quiz
Types of Visualization Tasks
-
2
Videos
-
1
Readings
2
Videos
- Visualization Tasks
- Task Elicitation
1
Readings
- A Design Space of Visualization Tasks
Design Studies Methodology
-
2
Videos
-
3
Readings
2
Videos
- Basic Design Methods
- Design Studies
3
Readings
- Design Study Methodology: Reflections from the Trenches and the Stacks
- Overview: The Design, Adoption, and Analysis of a Visual Document Mining Tool for Investigative Journalists
- Criteria for Rigor in Visualization Design Study
Perception in Visualization
-
3
Videos
-
2
Readings
3
Videos
- Perception Overview
- Preattention
- Attention & Search
2
Readings
- On the Prospects for a Science of Visualization
- Attention and Visual Memory in Visualization and Computer Graphics
Uncertainty & Decision Making
-
2
Videos
-
1
Readings
2
Videos
- Uncertainty
- Ethical Questions
1
Readings
- Why Authors Don't Visualize Uncertainty
Assessments
-
1
Discussion
-
1
Quiz
1
Discussions
- Visualization Project Part 2: Sketching your Data
1
Quiz
- Week 2 Quiz
Insight-Based Evaluation
-
3
Videos
-
2
Readings
3
Videos
- Module Overview
- Evaluation Overview
- Defining Insight
2
Readings
- Empirical Studies in Information Visualization: Seven Scenarios
- Toward Measuring Visualization Insight
Qualitative Evaluation
-
1
Videos
-
1
Readings
1
Videos
- Qualitative Evaluation
1
Readings
- Criteria for Rigor in Visualization Design Study
Experimental Design
-
2
Videos
-
2
Readings
2
Videos
- Experimental Evaluation Part 1
- Experimental Evaluation Part 2
2
Readings
- Experimental Research in HCI
- A Design Space of Vision Science Methods for Visualization Research
Trade-Offs in Evaluation
-
1
Videos
-
2
Readings
1
Videos
- Evaluation Trade-Offs
2
Readings
- Empirical Studies in Information Visualization: Seven Scenarios
- Evaluating Information Visualizations
Assessments
-
1
Discussion
-
1
Quiz
1
Discussions
- Visualization Project Part 3: A Plan for Evaluation
1
Quiz
- Week 3 Quiz
Auto Summary
Explore the "Fundamentals of Data Visualization" course, designed for professionals in Data Science & AI. Under the expert guidance of CU Boulder, this hands-on program covers design, development, and evaluation of data visualizations. You'll learn user-centered design, web-based visualization, and data cognition. Available for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees on Coursera, this 8-week course offers flexible, pay-as-you-go tuition. Ideal for recent graduates or working professionals, it’s offered via Professional and Starter subscriptions.
Danielle Szafir