Quality Score
Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/
Overall Score : 98 / 100
Live Chat with CourseDuck's Co-Founder for Help
Need help deciding on a scala course? Or looking for more detail on Enrico Bertini's Information Visualization: Foundations? Feel free to chat below.
Join CourseDuck's Online Learning Discord Community
Course Description
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis.This course aims at introducing fundamental knowledge for information visualization. The main goal is to provide the students with the necessary "vocabulary" to describe visualizations in a way that helps them reason about what designs are appropriate for a given problem. This module also gives a broad overview of the field of visualization, introducing its goals, methods and applications.A learner with some or no previous knowledge in Information Visualization will get a sense of what visualization is, what it is for and in how many different situations it can be applied; will practice to describe data in a way that is useful for visualization design; will familiarize with fundamental charts to talk about the concept of visual encoding and decoding.
Instructor Details
- 4.9 Rating
- 38 Reviews
Enrico Bertini
Enrico Bertini is Associate Professors in the Computer Science and Engineering department at NYU Tandon School of Engineering. He has taught courses on visualization and visual analytics for more than 10 years in public and private institutions across Europe and the United States. Prof. Bertini's research focuses on the development and evaluation of advanced visual interfaces for Data Science. He has numerous publications top visualization conferences and journals and he is the recipient of several awards for his research. He is also the co-host of Data Stories, a popular podcast on data and data visualization.