University of Colorado Boulder - Fundamentals of Data Visualization
- Offered byCoursera
Fundamentals of Data Visualization at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Fundamentals of Data Visualization at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 4 in the Vital Skills for Data Science Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level Python, foundation in Data Science
- Approx. 9 hours to complete
- English Subtitles: English
Fundamentals of Data Visualization at Coursera Course details
- 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.
Fundamentals of Data Visualization at Coursera Curriculum
Basics of Design
Course Overview
Why Visualization?
A Grammar of Graphics
Introduction to Altair
Hands on with Altair - Part 1
Hands on with Altair - Part 2
Mapping Basics
Mapping Tips
Color
Introduction to Interaction
Interactions Part 1
Interactions Part 2
Course Syllabus (completed by instructor)
Course Facilitation (completed by faciltator)
A Tour through the Visualization Zoo
Data Humanism: The Revolutionary Future of Data Visualization
Vega-Lite: A Grammar of Interactive Graphics
Workshop Overview of Altair Basics
Exploratory Data Visualization with Altair
The Structure of the Information Visualization Design Space
Extra Resources: Data Types, Graphical Marks, and Visual Encoding Channels
The Good, the Bad, and the Biased
Extra Resources: WTF Visualizations
Extra Resources: Ethical Dimensions of Visualization Research
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
User Needs
Visualization Tasks
Task Elicitation
Basic Design Methods
Design Studies
Perception Overview
A Design Space of Visualization Tasks
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
On the Prospects for a Science of Visualization
Attention and Visual Memory in Visualization and Computer Graphics
Why Authors Don't Visualize Uncertainty
Evaluation
Empirical Studies in Information Visualization: Seven Scenarios
Toward Measuring Visualization Insight
Criteria for Rigor in Visualization Design Study
Experimental Research in HCI
A Design Space of Vision Science Methods for Visualization Research
Empirical Studies in Information Visualization: Seven Scenarios
Evaluating Information Visualizations
Final Project
About the Final Project (completed by instructor)
NOTE: Do not open the Honor Code Verification UNTIL You Submit the Final Project!
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