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!!!
創建者 Joshua M•
Sep 08, 2019
Very engaging and well-designed course. Many thanks to the instructors and SwiftKey!
創建者 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.
創建者 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!
創建者 Ekaterina S•
Sep 26, 2019
It was a challegne for me, but also a fun!
Very interesting experience in a new promising field!
創建者 Muhammad Z H•
Oct 21, 2019
創建者 Ahmed Z•
Oct 03, 2019
創建者 Charbel L•
Oct 07, 2019
Interesting case study.
創建者 Khalid S A•
Nov 05, 2019
Great Course, great experience
創建者 Benjamin M•
Nov 03, 2019
Very nice course and there was a lot to learn. Awesome!!!
創建者 Manuel E•
Nov 03, 2019
Hard, extremely satisfying.
創建者 Carlos R S D•
Nov 19, 2019
I took this specialization a couple of months ago and did not comment as such. Now I turned around to remember some topics and started reading comments.
I found many comments that say the final project has nothing to do with the previous 9 courses and when I did it I thought the same.
Looking at it in perspective, I think the previous courses are absolutely necessary for the final project. The objective of carrying out a project with such characteristics is to apply the knowledge by oneself.
The first courses of programming in R, extraction and cleaning, and exploratory analysis are fundamental to understand the problem. In this case the cleaning has to do with the transformations using regular expressions and tokenization. The exploratory analysis should be done in any data science project, otherwise you may encounter surprises when implementing the models.
Statistical inference was necessary and closely linked to exploratory analysis, especially to select samples well and review distributions, since some machine learning methods may be affected by distributions. I must say that I did not see this when I took this course, but it was because of my lack of experience. Maybe there was a lack of guidance.
The algorithm I used was regression on the ngrams for simplicity, time and capacity of my computer, but it could have been combined with other methods such as neural networks or svm.
Implementing the model in shiny and then adjusting it because it was very heavy was also interesting.
As a summary, I really liked this specialization and although it was very hard and many times I did not know how to move forward (especially in the capstone), I think the challenge was important for my learning and I was very entertained.
創建者 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.
創建者 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.
創建者 Filipe R•
Oct 07, 2018
創建者 Sivaraman M•
Oct 23, 2018
The content of this course is very good and the assignments test the knowledge gained
The video lectures are some times boring, losing focus.
I think video lectures need some improvement
創建者 Pieter v d V•
Oct 24, 2018
It is a lot of independent work, with guiding questions but no real help otherwise. If that's not your thing, this course is not for. If it is, you'll great a very fun end project.
創建者 Rudolf E•
Jun 20, 2017
Great course, great content, didn't like the final capstone project though.
創建者 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.
創建者 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.
創建者 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 !
創建者 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.
創建者 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.
創建者 Murray S•
Oct 09, 2016
Good test of what we learned in the courses.
創建者 Zaman F•
Aug 24, 2017
Most of the courses were very well tought and contained useful material.
Thanks to all three instructors
創建者 Kalyan S M•
Nov 06, 2016
Really great course to apply all the techniques learned earlier in the specialization.