Information Visualization: Foundations

( 38 Reviews )

Created by: Enrico Bertini

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Overall Score : 98 / 100

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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.

Time: 19h

Instructor Details

Enrico Bertini

4.9 Rating
38 Reviews

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.

Reviews

4.9

38 total reviews

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By Nithish B R on 10-Jun-19

Well explained from a conceptual sense. Good to get a basic hands on experience with Tableau as part of the course.

By Thabo T on 6-Sep-19

Great course, it really game the skills and confidence to know what to do given a dataset

By Saif R on 4-Dec-18

The course has great content, but it is not the easiest to follow. The videos present information in a sequential way, then the project are exciting and perhaps a tad too challenging. I would have loved more intermediate exercises that are shorter in weeks 1 and 2 before diving in the project in week 3. That said, the course is of great quality and I recommend it to anyone looking to learning about how to create effective and beautiful visualizations. You will also get introduced to Tablue which is an added bonus.

By Mathieu L on 2-Apr-19

A very complete and instructive introduction about data visualisation

By Ian W on 6-Sep-18

Good introduction to information visualization.If you finish this class, I suggest you finish all courses in this specialization because it's great and not too hard. :)

By Trud F A on 29-Oct-18

Very good course - it gives a good overview over the basics!

By Raphael d F S on 30-Oct-18

Very good! The videos and materials are great. Enrico's knowledge is impressive and inspiring.

By Raja D H on 29-Oct-18

Great course! Not too complicated and covers fundamental topics about visual encoding and decoding.The explanation is clear and concise.Thank you Professor Enrico!

By Camilo C on 6-Nov-18

(Taken in Audit Mode) The course is great, Enrico is a great teacher and the introductory topics are great if you are searching for improving your data visualization skills. Simple explanations of a very broad and interesting topic.

By Santiago S on 21-Nov-18

Great course, I've enjoyed Prof. Enrico clear video explanations about the covered topics. The course serves as a fresh start if you are looking to improve your data visualization skills and knowledge. Examples included during the classes helped a lot to understand what's behind the scenes. Easy to follow along, it was made with a balanced mix of both: practice and theory.

By Fabian R on 2-Oct-18

Some minor bugs but overall a really great course

By Eaphy M on 24-Jun-19

Great intro to basics about information visualization. Would be a bit better if after doing the assessments the correct answers were provided as a guide to the peer review.

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