学生对 约翰霍普金斯大学 提供的 数据科学管理毕业项目 的评价和反馈

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The class was a little brief, but I really did enjoy the way it was presented. The real life situation, with videos, and a famous company made this hit close to home. I really enjoyed the "choose your own adventure" format of it as well. Unfortunately it was so brief, where the $49 price seemed a little high in comparison to the content that was available in the other sources in the Executive Specialization series. I also would have liked a longer or more in-depth scenario. Lastly, for any of the "wrong choices" that were chosen, a debrief "why" they were wrong would have also helped. Even though there is room for improvement (and thus a 4 star rating and not a 5), I really did enjoy it and found it to be a very enjoyable way to end the series.

Very well designed capstone course, easy to follow, and logical in it's progression with real world teamwork. The setup and coordination between Coursera and CoursePlus however was overly confusing and frustrating at times. It seemed that directions and prerequisites stated for CoursePlus were in conflict with Coursera directions. For example, CP indicated an "introductory" course with required live attendance as a prerequisite, when in fact it wasn't necessary at all. I think I spent more time trying to sign up, make sense of the conflicting directions and fumbling my way thru than I did on the capstone lessons themselves.

I liked the way the Capstone is structured, it's really engaging! However, I think it was oversimplified (I was expecting something more difficult that really challenged me and examined most things I learnt during the first 4 courses). Overall, a great experience though.

Excellent emphasis of the collaborative effort required to execute data science successfully. However, an area of improvement is allowing for the slide decks to be visible as an objective assessment is not allowed without accessing and viewing the slide decks.

Very good overview. I did the full data science course but I'm a senior manager, so this was nice to get some organization perspective. Some parts might be a challenge for some IT people, but if you want to manage big data projects, it's worth the effort.

Very nice and interactive way to get a glimpse of how the class can be applied in a professional environment.

A bit short to my opinion, more problems/questions would give a better overview of a day-to-day life of a data science manager

Like this model of capstone, since it brought some situations of real-life data science projects. However, I found the duration of the capstone too short. I would have like the project to last longer and to introduce more cases.

Overall, very useful syllabi have been designed. I wish for more detailed, or at least less repetition of materials in videos and notes. Some of the terms have not been defined for me, so further research was necessary.

Overall decent closeout to the course. Makes you think critically about the tasks presented. Would have welcomed additional hands exercises, perhaps using the tools presented within previous specialization courses.

I liked the format of the Capstone a lot. However, it could have been made a bit more challenging and exploratory by having more possible paths in the story.

Great course to have an holistic view on the data science elements, including some technical background, project phases/ questions and building a data team.

The last project that is capstone project is what overall this course was. It was fun and guided every decision that you make just like in real life project

The capstone tests your decision-making skills but ought to be a bit more challenging. Also, the 3 presentations the learner must assess have a few typos.

Great course - even for those with only a small amount of data analysis, this is very useful in explaining the bigger picturing of managing data

Fun and real life problems, is easy but would be cool to make it longer and a situation in which real several problems are found.

It was great to see how does it work in real life. I wish there was more example and more challenging scenarios. I did enjoy it.

Some of the sections were a bit too much jargon based which were difficult to understand but overall it was a good experience.

Good to get a formal overview of all the phases and ingredients of data science projects, without getting lost in the details.

Like the way the capstone project was design, also how the team is introduced and how the situations are moving forward.

There were a couple of bugs, but it was a great way to close a very well-designed course.

It felt almost like a game!

Good end to the course - highlighting the importance of decisions at critical junctures in the data science process.