Learner Reviews & Feedback for Fundamentals of Data Visualization by University of Colorado Boulder
4.7
stars
29 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...
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1 - 5 of 5 Reviews for Fundamentals of Data Visualization
By Jason R
•
Aug 11, 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 HARI S M
•
Dec 17, 2023
Very Lively interaction from the mentor. Simplified explanations