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: Glener D M•
Sep 19, 2019
Indispensable for those who want to master the R language along with data science. I highly recommend this 10 courses. Believe me you will not regret it.
교육 기관: Hathairat W•
Sep 19, 2019
The assignment was designed very well. I struggled and was thinking of giving up. I'm glad I didn't. The assignment actually required all skills I learnt previously. A bit time consuming but achievable. Thank you very much!
교육 기관: Ekaterina S•
Sep 26, 2019
It was a challegne for me, but also a fun!
Very interesting experience in a new promising field!
교육 기관: Alia E•
Sep 05, 2019
Like diving in without learning to swim first - but man did I learn a lot.
교육 기관: Ahmed Z•
Oct 03, 2019
교육 기관: Charbel L•
Oct 07, 2019
Interesting case study.
교육 기관: Jeremi S•
Dec 07, 2018
Challenging. The course could possibly offer a 'here's how it could be done' ideal example after final submission and pass.
교육 기관: Terry L J•
Nov 28, 2018
I appreciate all the work they put into creating the course,. However, it can be frustrating to follow. It would be nice if they would structure it in a more organized fashion.
교육 기관: Robert C•
Aug 03, 2018
I wish that either there were a choice of capstone projects, or that there were a more numerical component to the analysis than such a pure text based assignment.
교육 기관: Filipe R•
Oct 07, 2018
교육 기관: Michal S•
Mar 03, 2018
The course project was very interesting. It can be challenging if you want to do it properly or easy if you just want to pass. I tried to do it properly for which I had to repeat the course 3 times, but in the end it was good - I think I learned a lot.
교육 기관: Emi H•
Jun 22, 2017
Good project. Got me to think outside the box and really challenge myself.
교육 기관: Telvis C•
Jul 16, 2016
I enjoyed the course. This course took me waaaay more time than I thought because I struggled with a few issues. First, I wish I'd started by taking the NLP online course before starting the Capstone (https://www.youtube.com/watch?v=-aMYz1tMfPg). There was an issue installing RWeka, RJava and it took me several days to work through the issues. I eventually moved to using quanteda (https://cran.r-project.org/web/packages/quanteda/vignettes/quickstart.html). I also waited far too long to develop a method to test my model using a subset of the training data, so I could test whether changes to my model improved and reduced performance. It turns out that my model trained on a 25% sample performed just as well as a model trained on 100%. I'm thankful for the Discussion Forum and final peer review process. Both helped me learn how I can improve my model and demo application. I really appreciate the instructors for creating this specialization. I've learned a lot.
교육 기관: Carlos D C G•
Mar 27, 2017
Very interesting, but Capstone is much more difficult than the rest of the course.
Be sure to study carefully the first courses, and don't rush.
교육 기관: Greig R•
Mar 16, 2018
A tricky end to the specialisation - but quite a lot of fun.
교육 기관: shashank s•
Sep 16, 2017
It was a challenging project and really pushes you to learn and manage on your own. It also pushes you to build and end to end product within time and memory constraints. Learned a lot during this project!!
교육 기관: Rudolf E•
Jun 20, 2017
Great course, great content, didn't like the final capstone project though.
교육 기관: Romain F•
Jul 03, 2017
A very tough and challenging project, but a great way to learn a lot about Natural Language Processing and algorithm coding in R, and in the end to have a cool Shiny app to add to your portfolio. The project weekly structure could be enhanced (maybe adding one more week could help) and the weekly instructions, while informative, could also be improved. Thankfully the forum has been very helpful. Informative and motivating videos but where were the SwiftKey people mentioned ? Finally, the quizzes 2 and 3 should be replaced by other exercises with more educational value. Overall an interesting learning opportunity !
교육 기관: Zaman F•
Aug 24, 2017
Most of the courses were very well tought and contained useful material.
Thanks to all three instructors
교육 기관: Jay B•
Oct 04, 2016
This is not for beginners with no experience. The estimated weekly hours are absurdly low.
No one has seen any sign whatsoever of the industry partner, SwiftKey, despite claims they will be around to help. The field has advanced dramatically since the course was developed. Be prepared to do a lot of research and trial and error.
The specialization has been an excellent way to learn a fair amount on the topic, but it is just the beginning. The capstone will challenge you. It is rewarding when you complete it.
교육 기관: Victoria A•
Mar 29, 2017
With this course I learned to go through a data problem from the scratch and get a real data product, and document it. My only constructive comment is that, when reviewing the projects of classmates, there is a huge dispersion on the effort and quality of the products presented, from very basic and simple Apps to a very professional products, and the scoring of them all is quite the same, perhaps one or two points of difference, in eleven points maximum score.
교육 기관: Murray S•
Oct 09, 2016
Good test of what we learned in the courses.
교육 기관: HIN-WENG W•
Aug 27, 2017
Challenging real life project that apply the academic knowledge
교육 기관: Kalyan S M•
Nov 06, 2016
Really great course to apply all the techniques learned earlier in the specialization.
교육 기관: Josh M•
Oct 12, 2016
Good scenario and a good learning opportunity. I don't think the quizzes related well to the problem we were trying to solve and introduced a red herring, however. Predicting the next best word is not the same as predicting the relative probability of 4 words where one is the "right answer" but not necessarily the best prediction of a text prediction algorithm.