Mar 05, 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.
Mar 29, 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!!!
교육 기관: Marco S C•
May 26, 2016
Unfortunately this project is not fully aligned with all the previous program, which is a shame. Ideally, the project was more related to quantitative data, or have compulsory module NPL. It was certainly a very important learning, but very stressful to have to grasp NPL and do the project in a short time.
Learning NPL in short time in a DIY way without any help it was very negative and stressful.
교육 기관: Sandro R•
Jun 28, 2019
As other reviewers said, the Capstone is too unconnected to the rest of the specialization. In the end, there is no metric as to what makes your model successful, it's just the Slides and the appearance of the Shiny app that counts towards the total mark. Also, the topic (Natural Language Processing) is just too unconnected to anything seen in the other courses. It was fun, but felt a bit off.
교육 기관: Tavin C•
Aug 17, 2017
The series leading up to the capstone was excellent but the capstone itself was a disappointment. Very little instruction was provided and the grading criteria were flawed. Also, most of what we learned in the first 9 courses about statistics and machine learning turned out to be irrelevant to the capstone project.
교육 기관: Clara B•
Sep 21, 2016
The course has nearly nothing to do with the previous themes. I already have had enough knowledge, but as there is no support by the team it seems to be rather time consuming for others.
교육 기관: WONG L C•
Jun 08, 2016
I hope it will involve statistics analysis in the capstone project. It is kind of bias to apply NLP knowledge and develop data product in the capstone project.
교육 기관: Sevdalena L•
Dec 10, 2016
Not enough information on how to approach the final project. The project itself is very time consuming with lots of self learning and unclear specifications.
교육 기관: Lee M S•
Apr 23, 2016
The capstone project doesn't fully utilise d knowledge from earlier modules such as Machine Learning, statistical analysis, regression models n etc.
교육 기관: CW•
Jul 17, 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.
교육 기관: Dmitri P•
Mar 30, 2016
The course is outdated and abandoned by the teachers.
SwiftKey engineers are nowhere to be seen.
There is no guidance.
교육 기관: Yohan A H•
Dec 17, 2019
Thanks for the guide but I did the hole course without instructions, there were new thing that could be tougth.
교육 기관: unijoy•
Mar 23, 2016
need more details
교육 기관: Joerg L•
Jun 04, 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.
교육 기관: Aleksey K•
Mar 16, 2016
None of the previous classes will prepare you for this one. This is not really a class, but rather a project on a topic NEVER covered in any of the previous classes in this specialization.
교육 기관: Stephen E•
Jun 27, 2016
A poor end to a poor Coursera specializations.
교육 기관: Runhao Z•
Nov 28, 2017