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Learner Reviews & Feedback for Data Science Capstone by Johns Hopkins University

4.5
stars
1,210 ratings

About the Course

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners....

Top reviews

NT

Mar 4, 2018

Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.

SS

Mar 28, 2017

Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!

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301 - 311 of 311 Reviews for Data Science Capstone

By CW

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Jul 16, 2017

No physical way to complete the class within one session. Little is learned, no instruction is given, just build a thing that sort of works.

By Dmitri P

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Mar 30, 2016

The course is outdated and abandoned by the teachers.

SwiftKey engineers are nowhere to be seen.

There is no guidance.

By yohan A H

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Dec 17, 2019

Thanks for the guide but I did the hole course without instructions, there were new thing that could be tougth.

By unijoy

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Mar 23, 2016

need more details

By Cristin K

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Apr 21, 2021

The amount of background knowledge you need in order to get through this course is astonishing compared to the amount of knowledge you gain from the other 9 courses in the specialization. The first two tasks are really easy. The third one (creating a model) is ridiculous. It's nothing like the models we built in the modeling course. The number of people who have given up at that point and dropped is absurdly high. I spent a month and a half trying to get enough background to get a working model up and running and eventually just decided it's not worth it for just a Coursera certificate. No offense, but this is more like a final project for a master's degree.

I understand that the idea is to push people to be able to deal with different kinds of data, but you give us all the tools we need for a specific kind of data and then drop a completely different kind of data from a completely different field, and NONE of the modeling techniques or even the stats actually apply to this new type of data.

By Joerg L

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Jun 4, 2016

I currently taking this capstone and I must unfortunately say that this is the most worst course in the whole specialization. Of course the topic NLP and word prediction is interesting, but the problem is, that this is a dead course. A couple of students in the forum strugeling with details, but there is NO Mentor, no Professor or other course staff and no SwiftKey engineer as announced in the Project Overview.

So everything you have to figure out completely by yourself and this takes a lot of more time than the 4-9 hours. And also why should you pay for a course where you learn anyway only ba your own.

Pick any intersting topic you would like to work on and invest the time in this instead of paying for this Capstone without any support form Coursera, JHU or SwiftKey.

By Ben T

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Feb 11, 2021

The course is really just a structure for the final project. Most learning and programming techniques for the capstone are self taught and require intense research and experimentation. This entire certificate is more or less in the same vein. Only attempt this if you are confident of your skills as a self directed learner. Overall I found most of the courses to be disappointing in the series though I did finish.

By Nicholas

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Dec 26, 2020

Class offers nothing more to the previous 9 courses. The curators of the course seem to have given up at this point, basically telling us to do something on our own (to be graded amongst ourselves).

By Mike B

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May 7, 2022

I wish the course trained you to do anything with the capstone. Unfortunately the course teaches you how to build a bike and then the capstone asks for you to build a car.

By Stephen E

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Jun 27, 2016

A poor end to a poor Coursera specializations.

By Runhao Z

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Nov 28, 2017

bad ending