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.
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!!!
By Robert W S•
Although this project is very open-ended with little guidance, it definitely requires the "full-stack" of data science to complete.
By Humberto R•
Very instructive, since it presents you with a real world problem, that you need to solve by yourself, in all of its complexity.
By Jeremi S•
Challenging. The course could possibly offer a 'here's how it could be done' ideal example after final submission and pass.
By xuanru s•
Very challenge work. new topic. The only issue is if there is any videos that could guide us would be better.
By Zaman F•
Most of the courses were very well tought and contained useful material.
Thanks to all three instructors
By Kalyan S M•
Really great course to apply all the techniques learned earlier in the specialization.
By Marcus S•
A good & fun idea to implement. Would have prefered implementing my own idea though.
By Rudolf E•
Great course, great content, didn't like the final capstone project though.
By Emi H•
Good project. Got me to think outside the box and really challenge myself.
By Oswaldo P•
Good experience, little guidance for the topic but big challenge
By HIN-WENG W•
Challenging real life project that apply the academic knowledge
By Greig R•
A tricky end to the specialisation - but quite a lot of fun.
By Chonlatit P•
Project is good for practice what you've learnt
By Murray S•
Good test of what we learned in the courses.
By Ajay K P•
I really had fun working on this project.
By Artem V•
Nice balance of focused and open-ended
By Gary B•
tough capstone and took a lot of time
By Yew C C•
Good and interesting project.
By siqiao c•
Very fun final project!
By Tiberiu D O•
By Sabawoon S•
By Filipe R•
By Kevin M•
By David M•
This was essentially a self-study project with some social peers. The topic, approach, and standards were different from all of the other units in the Data Science specialization. I found the other units more enjoyable.
Learning the essentials of NLP quickly is necessary to begin the project. I ordered a textbook, for example, and I was fortunate that it arrived quickly. If NLP is a prerequisite for this capstone project - whether in the form of a prior class or textbook knowledge - this should be indicated clearly on the course description page.
Nevertheless, the main learning that I achieved with this course was in the area of software engineering - specifically, how to take advantage of vectorization in R to achieve reasonable computing performance. While this is a valuable skill, it doesn't seem the proper focus of a capstone course in a sequence focused primarily on other topics.
As noted elsewhere in these comments, there was a complete absence of any traditional teaching support. Learning outcomes suffered as result. The missing resources included instructors, mentors, partners, and learning materials.
The course site notes an expected time requirement of a few hours per week. My commitment was 20 hours per week, under some pressure. Numerous students take this "course" multiple time, in order to arrange for reasonable software development time.
Producing working software was fun, as it always is. The course learner community was supportive, which is fortunately typical for Coursera.
All in all, this project was *not* an effective capstone for the Data Science specialization. The project was interesting in its way, but it felt 'parachuted in' to this learning sequence.
By Visha P•
Really enjoyed this specialization and have learned a ton (and now applying it too!). Sadly, won't be able to get to finish off the specialization because the capstone course is just too different from what we learned, especially with the prediction model piece. Not using the package caret at all and that was the main premise of that course and I just really can't figure out how to build out prediction model with this kind of structure. Kind of bummed because I was looking forward to the certificate - but I just couldn't figure it out in a way that would be my own. Shoutout to the people who are able to figure this out and extrapolate all their learning to finish it. My brain just doesn't work well like this. I need examples and then can replicate. Please let me know if you ever modify the capstone experience and I will try to come back and finish it! Thanks for all the great material - will be using for sure.