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Bewertung und Feedback des Lernenden für Building Data Visualization Tools von Johns Hopkins University

153 Bewertungen
41 Bewertungen

Über den Kurs

The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about....



18. Juni 2021

Great course - learned a lot. Excellent instruction

One downside.. Peer review can be a blocking issue to moving forward. If no one is around to peer review, you wait, and pay while you wait.


19. Juli 2022

Coding project was quite useful. Got my submission peer-graded much sooner than I had expected (in about a week).

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26 - 40 von 40 Bewertungen für Building Data Visualization Tools

von Zdenek K

9. Jan. 2017

So first of all, the material for this course in the bookdown document are very good - well structured, with good sources. My concern is that the Coursera course does not go a lot beyond, basically just referring to the document and adding quizzes + graded assignment in the last week. The assignment, however, is nice and challenging and requires people to understand the materials.

Also, the course covers other great packages than ggplot2, e.g. plotly and leaflet and methods for handling spatial data. I think it would be very nice if the students were challenged in these topics as well and evaluate them in a better way than just a quiz (programming assignment for instance).

I liked the course though and I believe it can be prepared even better.

von Chao G

10. Juli 2019

This course is not as satisfactory as the second one, "Advanced R Programming". You spend most of the time reading the book they wrote. There is no video lecture or interactive quiz. The most annoying part is the peer-reviewed assignment part. This is a coding project where you need to create your own geom. I understand that building your own geom is an advanced topic in visualization using R. However, at least for me, I rarely have this need in my work. The example and the dataset they use for the project isn't very interesting neither. Overall, I think this course should not be included in the specialization.

von Shengdi W

23. Jan. 2019

Content on ggplot2 framework is solid. However, no video or explanation to complement the textbook, students are expected to learn by reading solely.

Final assignment requires prior R programming knowledge, which is not taught in this course. This can lead to frustration in the end. Probably those who are enrolled in the entire specialization will find this assignment more manageable. I personally had to spend more than 20 hours on this supposedly 4-hour assignment.

von Kevin D

16. Juli 2017

You'll learn how to make a custom geom, and apply what you learned to an interesting dataset.

This course has though an insane difficulty level, mostly because you don't have the information you'd need to succeed easily. I'd only recommand this course to people following the entire R specialization: if your goal is to learn how to make a custom ggplot, follow an external tutorial, you'll avoid being frustrated.

von Ben S

1. Mai 2020

This course was a massive struggle. I gave up on it for two months as I just found the package development for the geom to be way over my head. Definitely learning a lot, but

von Stephen E

2. Aug. 2018

I wish there were videos and not just reading a website but the content is really top notch. I will definitely be using what I've learned in the future.

von Niklaas B v G

14. Okt. 2017

The way last exam is presented makes student lean towards unconcise programming

von Ankai X

5. März 2019

The peer-reviewed assign

von Min P

13. Juni 2020

This course was the reason why I started learning other courses in this specialization.

The reading material covers basic ggplot2 and ggmap elements, which would be empirically helpful. However, final assignment was not to my expectation. (Though understandable)

Hope the team would change the assignment to non-peer-grading one. Getting it reviewed seems pretty harsh.

von Georgios P

3. März 2017

Apart from the book the courses does not offer me anything. No videos, no active forum, no explanation. Also the assessment is not interesting and there is no much information in the teaching material in order to be able to do the assessment.

I am very disappointed with this Specialization.

von Ben S

5. Juni 2017

The designers of this course designed a final assignment that is way beyond the curriculum leading up to it, and judging from the discussion forums it gives everyone severe headaches to deal with it. They know of the situation, but rather than alter the assignment they just added new "lessons" that boil down to "Why don't you go read some more material in this other person's book about creating graphical elements? You'll be fine!" I am paying to take this course so I'm more than a little ticked off about this. Until they fix the situation you should take some other series of courses to learn about R programming.

von Youdinghuan C

7. Jan. 2017

The first three weeks of this course is ok. The last assignment is very poorly structured with uninformative instructions.

von Savvas S

28. Aug. 2017

just links to a webpage... no support from the mentors no support form coursera... you can use your money more wisely..

von Christopher M P

10. Feb. 2020

Some useful stuff, but you could be waiting weeks if not months to have your final assignment graded.

von Arthur G

29. Aug. 2017

Obtuse and doesn't give enough practice opportunities