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.
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!
par Andrea T•
Great course, thorough, easy to follow and full of resources to deepen the knowledge.
par Khalid M K•
Good way of teaching, easy and interesting concepts to work with hard things.
par Emilio A•
A very good introductory course on the information visualization foundations.
par Vikram G•
Excellent Course by NYU , Professor enrico's classes are really good.
par Mathieu L•
A very complete and instructive introduction about data visualisation
par Panagiotis M•
Very well structured course, with clear and understandable teaching.
par Jeanne M L•
Good introduction to learning Tableau in addition to concepts.
par Trud F A•
Very good course - it gives a good overview over the basics!
par Charles F•
Great basic course to breakdown graphs and charts
par Fabian R•
Some minor bugs but overall a really great course
par Chad R D•
Very concise and informative course.
par Gilsiley D•
Migration to Coursera Plua
par Erikton K (•
Excellent introductory course in data visualization! I thoroughly enjoyed the course, the videos, the organization and even the last assignment which I had to submit twice, as first submission was not good enough -- all part of the learning process. I noticed minor issues in the in-video quizes which I reported when I could, but I saw similar comments in the forums also. Other than that, I would highly recommend this, even just from a pure reader's perspective, to be more critical of reading and analyzing data charts and other representations. Great course!
par Zilu Z•
I like the lecture of this course. But the peer review assignment gave me terrible experience primarily because the rubrics fail to provide any answers or even possible examples. Students read the questions differently and some graded in a very judgy manner.
Another minor complaint is that the assignment requires the use of Tableau. I have no experience with that but I am familiar with plotting in multiple statistical software. Allowing the use of other programs could have significantly saved my time, and I am not going to use Tableau in my work anyways.
par Halian V•
Great lectures, Enrico is a fantastic teacher and the depth of information covered is very well measured! Some of the in-video exercises are, however, very obvious. We could use better crafted questions that summarize the content instead of some simple "word" games in which you must remember exact terms. Peer review quizes are nice, but the "distribution" dynamics could be better, I felt that my exercises would never be reviewed haven't I asked for it in the course forums. Despite that, very nice course!
par Andie G•
The lecture videos were very clear and the projects were adequately challenging and on-topic. The only thing I would suggest to improve is giving more instructions for the final project as it was a bit unclear the extent to which we were being asked to research the graph on our own.
par Dolf v d H•
Informative, yet highly academic in the first two modules. More practical in the second half. Overall an enjoyable course with an enthusiastic trainer. Note that there are some issues with the pop-up quizzes appearing at seemingly random times in the videos.
par Keith T•
There were a few problems with the assignments, such as questions referencing data elements that didn't exist. Overall, the issues were minor annoyances in a very informative course. Looking forward to the remainder of the courses in the specialization.
par Vishnu S•
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.
par Swaminathan J•
Some of the quizzes had wrong answers/ different answers to what was taught in the course. They have been mentioned multiple times by many in Course discussions but still seems to have been not fixed.
par Luisa B L•
This is a course that presents the basic concepts needed to start working with information visualization.
I found it excellent, orderly, clear and concise.
par Stavros s•
i think it describes in a comprehensive way the foundations of data vis
par Carl C•
Very good foundation into data visualization.
par Ben B•
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).
par Josh H (•
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.