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!!!
par Tiberiu D O•
Sep 22, 2017
par Sabawoon S•
Nov 25, 2017
par xuanru s•
Jun 20, 2017
Very challenge work. new topic. The only issue is if there is any videos that could guide us would be better.
par Artem V•
Sep 14, 2017
Nice balance of focused and open-ended
par Angela W•
Apr 17, 2018
Overall, I was semi-satisfied with the capstone project:
On the negative side, my foremost issue is that the project has very little to do with what we learned in the nine courses before. I get that you will always see new data formats as a data scientist, but having the whole course cover numeric data and then having the final project be on text data where you can't apply what you learned seems sub-optimal. Also, to me it seemed that the accuracy increased mostly with how much data you train your algorithms on, and not so much how you design your algorithm. My second issue is that the class only starts every two months, and the assignments are blocked before the session starts so you can't see them if you're trying to get a head start. What happened to everyone learning at their own pace? I have a lot to do and had to switch sessions at least once for most classes, and this class was really stressful for me because I didn't want to move my completion back by two months. Lastly, I really hate RPresenter and that the instructors force us to use it, but maybe that's just me.
On the positive side, I did learn a lot: The basics of text prediction, how to do parallel programming in R and how to set up an RStudio instance on AWS (the latter two are not very hard, I recommend them to anyone struggling with gigantic runtimes, as long as you're willing to invest like $40 or so for the computing power). I liked that the guidelines were very broad, so there was a lot of room for creativity. I also finally found out how to make an pretty(-ish) presentation in R, though I would always choose Powerpoint in real life.
I really enjoyed the series as a whole and learned a great deal.
par 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.
par 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.
par Marcus S•
Sep 20, 2016
A good & fun idea to implement. Would have prefered implementing my own idea though.
par Sandeep A•
Sep 13, 2017
Very good Course as a beginner course for Data science , you will learn a lot of stuff and the capstone is a very good starter for Natural Language processing
par Gary B•
Sep 15, 2017
tough capstone and took a lot of time
par Robert W S•
Mar 19, 2017
Although this project is very open-ended with little guidance, it definitely requires the "full-stack" of data science to complete.
par Yew C C•
Jul 20, 2016
Good and interesting project.
par Emi H•
Jun 22, 2017
Good project. Got me to think outside the box and really challenge myself.
par Juan M•
Jun 08, 2016
This is a great capstone project. It requires the student to really have an understanding of the concepts learned throughout the specialization and apply them to build a prediction app. There is very little guidance asides from the discussion forum which could be discouraging at first. Otherwise I would've rated it 5 stars.
par Wesley E•
Aug 11, 2016
Overall a good course that makes you learn a lot on your own (unlike the rest of the series). Maybe a bit too much self learning. However, if you can complete it does give you a lot of learning especially in some text analysis which hasn't been covered before.
par Yong-Meng G•
Jun 20, 2017
The capstone will be much easier if participants have hands-on experience and understanding of how R works. For those who have managed to overcome the steep learning curve, the reward from the learning experience is well worth it.
par Yoga A Y•
Oct 11, 2016
The Capstone Project makes you summarizes what you have learnt so far and take it to the next level, natural language processing . Besides, the ability to create a working app is a reward by itself.
It is challenging and interesting at the same time.
par Greig R•
Mar 16, 2018
A tricky end to the specialisation - but quite a lot of fun.
par 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!!
par Chonlatit P•
Jun 27, 2019
Project is good for practice what you've learnt
par Neeraj A•
Sep 08, 2019
Feeling proud after completing all the courses under Data Science Specialization. This was not an easy task to complete especially if you are not familiar with the Statistics. Requires continuous dedication and motivation to follow and complete. Course is well designed and cover most of the topics. Its just stats part can be enhanced further to cover some basic aspects. Thanks for all the support
par Zaman F•
Aug 24, 2017
Most of the courses were very well tought and contained useful material.
Thanks to all three instructors
par Humberto R•
Apr 09, 2018
Very instructive, since it presents you with a real world problem, that you need to solve by yourself, in all of its complexity.
par Murray S•
Oct 09, 2016
Good test of what we learned in the courses.
par 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.