Information Visualization: Foundations

( 19 Reviews )

Created by: Enrico Bertini

Quality Score

Content Quality

Video Quality

Qualified Instructor

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Course Depth & Coverage

Overall Score : 98 / 100

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
19 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.

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Reviews

4.9

19 total reviews

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By Vishnu P P S on 24-Jun-19

The course is well taught at a good pace. The assignments are fun and tough in a sense, it makes you work. The only bad thing is the PEER REVIEW system. You'll have to spend some time waiting for peer reviews to happen.

By Carl C on 17-Apr-19

Very good foundation into data visualization.

By Santiago T on 17-Oct-19

It helped me put some theory behind data visualization concepts I work with every day. After this course, I know better why some graphs seem better than others and have some guidelines as to where I should start when creating a new visualization depending on the type of data I have.

By Andrea T on 23-Aug-19

Great course, thorough, easy to follow and full of resources to deepen the knowledge.

By Chad R D on 9-Jul-19

Very concise and informative course.

By Jafed E on 6-Jul-19

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Jeanne M L on 24-Jun-19

Good introduction to learning Tableau in addition to concepts.

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.

By Fabian R on 2-Oct-18

Some minor bugs but overall a really great course

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 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 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!