Name: Fundamentals of Data Visualization
Brand: University of Colorado Boulder
Availability: OnlineOnly
Rating: 4.7 (7 reviews)

Back to Fundamentals of Data Visualization

Learner Reviews & Feedback for Fundamentals of Data Visualization by University of Colorado Boulder

4.7

stars

40 ratings

About the Course

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 MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder...

Top reviews

Dec 16, 2023

Very Lively interaction from the mentor. Simplified explanations

Jan 23, 2026

Not your basic data visualization course - very in depth and interesting with concepts that are fresh and new. Professor is very thorough and understandable.

Filter by:

1 - 7 of 7 Reviews for Fundamentals of Data Visualization

By Jason R

•

Aug 10, 2023

The material is very dense with very limited exercise of the material.

By Fábio A M P

•

Nov 4, 2022

Prof. Danielle nails all the steps of how to gather knowledge, develop and test your visualizations implementations and assumptions. It really opened my eyes on how to do data visualization in a scientific way.

By Lauren B

•

Jan 24, 2026

Not your basic data visualization course - very in depth and interesting with concepts that are fresh and new. Professor is very thorough and understandable.