学生对 约翰霍普金斯大学 提供的 数据科学速成课 的评价和反馈

The Crash Course in Data Science gives you an overview of their Data Science Specialization. It is good for those who want to pursue to learn Data Science.

Very crash course that gives you a taste about the different aspects of data science and makes you want to dive in the specialization program right away!

Course Material is good however I felt trainer is not very much engaging with the audience. There is not liveliness in the way the videos are projected.

An excellent brief introduction to Data Science. However, I wouldn't have minded if the course were moderately longer with more relevant key concepts.

As the title of the course says, it's a Crash Course.

Quick, simple, effective in giving you the very basic terminologies, use cases of Data Sciences.

Good introductory course. A bit dry with no interaction with other students (the forums were not popular and there were no peer-graded assignments).

All good apart from the video explanation of "Software" which came across as a bit all over the place. Likely to cause more confusion than answers.

I really enjoyed stuying this class. The content is very relavant and practical. I wish it could have shown more examples on the toolbox section.

A good general overview that can be finished pretty quickly. There are some terms thrown around that might throw you if you get hung up on them.

Great course for managers that what to start understanding the most relevant concepts about the data science area and how to apply it in practice.

This course gave a very nice overview if the subject and role-players. I am looking forward to doing the rest of the Modules/Courses. Thank you.

Good starting course. Some of areas could have been explained little more easier way for sake of people who are not so well versed in statistics.

The course give a overview about data science and its different aspects. A very good course for someone who wants to start learning data science.

Some of the lectures/rers were better than others, but on the whole I got what I wanted from the course. 5-6 hours' investment, so not too much.

I enjoyed the course - the right level of detail for the proposed audience. I think the statistics vs Machine Learning wasn't totally relevant.

Course structure can improve, eg. have it split by week (investment 0.5-1 hour a week?), have pre-reads instead of articles within the quizzes.

Some questions confusing (with less than 5 so missing 1 was a fail) and a few videos were lacking written summaries. Other than that not bad

Its a good course of study to dive in the data science word. To know about the tools and techniques for a data analyst and data scientist.

I liked this course mainly because it gives you an insight about how the data scientist works in the real framework of health research.

Some minor technical issues, but the course was informative as a quick introduction to the subject and the course content was engaging.

The presenters talked so quickly I had to watch the videos 4 or 5 times to catch everything. Other than that, great into to the topic.

The questions on the quiz for the secrets of success to not align with the section taught. Overall decent to understanding the basics.

The course can be described as the first hour lecture by the professor. It introduces students to data science, its uses and pitfalls.

Good summary, good overview. Good to go over the basics again! Could be a bit more thorough on some methodologies out there, however.

Good overview of data science concepts. Uses quite some terminology that could be better explained and it is (off course) very brief.