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Вернуться к Information Visualization: Foundations

Отзывы учащихся о курсе Information Visualization: Foundations от партнера New York University

Оценки: 190
Рецензии: 54

О курсе

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....

Лучшие рецензии


23 июня 2019 г.

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.


28 окт. 2018 г.

Great course! Not too complicated and covers fundamental topics about visual encoding and decoding.\n\nThe explanation is clear and concise.\n\nThank you Professor Enrico!

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51–55 из 55 отзывов о курсе Information Visualization: Foundations

автор: Ben B

9 апр. 2021 г.

Overall, the course is good. But the quizzes and exercises are very frustrating. Correct answers are marked incorrect (the first complaints about that in the discussion forum date back two years). The data set for the exercises (external source) seem to change and depending on your location will provide you with different data (missing data!). In order to complete the first peer-reviewed assignment, I had to use a data set provided by a fellow student in the forum - since the data set I could download from the "official" link was missing essential variables. Then I had to do a massive amount of data wrangling because that data set had some other issues (doing data analysis always involves data wrangling, but I should not spend three hours getting a working data set for an assignment in a course the instructor points out specifically that it is not about data wrangling but only about data visualization).

автор: Josh H (

23 февр. 2021 г.

Course content is good and important for the real business world. My primary issue and why I won't give 5 stars is that the week 3 assignment grading was very subjective and had low margin for error. With a different classmate grader each time I just had to mass produce graphs for each question to make sure the different opinions and tastes were covered. It took about 4 attempts of tweaking the original submission.

автор: Joseph L P

18 июля 2020 г.

The course needs to include topics about data validation, the use of independent (x) and dependent variables (y) for preparing graphs, and limiting the combination of data attributed to avoid too much granularization of data visualizations (to ensure effectiveness). Thank you very much!!!

автор: Aarnav G

11 апр. 2021 г.

Not updated at all, creates a lot of problems for the student. Moreover, the in-class content is faulty too at times. And the quizzes have wrong answers. Could not even access the database that is needed to pass the quiz.

автор: Anirudh

10 мая 2020 г.

Discussion Forums talk about quiz questions being broken and delayed peer feedback