Learner Reviews & Feedback for Data Science Capstone by Johns Hopkins University

Excellent thank you very much !

Thank you all very much and the course gives me a lot! Thank you again!

Had a blast creating this prediction application! Really got addicted.

Awesome course

It was a great experience and learning. Challenging tasks week on week. Thanks to all the faculty for support.

Delighted to have completed the Capstone project after all the 9 courses in the specialization. Amazingly designed course. Thank you.

It is very good course, I learned lot of Data Science algorithm from these course.

This project was somewhat challenging, yet relevant with what it came before it. Completion of all the ten courses were so much fun and definitely better than wasting money on a traditional education. I've learn way more from online educational platform, in comparison with the traditional universities/colleges that I have attended. Thank you, this was so much fun.

GREAT opportunity to apply all of the knowledge that I learned over the last year or so. Thank you so much for the guidance the opportunity to learn something new!!!

In this last module I have learned a lot. It was demanding and quite tricky as you were asked to take your own decisions as there is no best answer at all. I learned to decide what I want and to create an appropriate solution. The best lesson so far along this specialization track.

The sequence of activities in execution of the project envisages multiple interactions with your peers and unfolds your creative aspect to churn out a solution to put all the learning into practice!

Cheers, DSS team - Brian, Jeff and Roger 😁

This course is unlike all the others. Although you will need information gained in the previous nine modules, the Capstone Project requires you to work on a long and difficult problem using your own initiative. Mentors, tutors and Swiftkey employees are lacking throughout this project.

I worked through many different R packages to generate the word prediction N-Grams because R has a tendency to run out of memory. Many students are forced to use a cut down version of the three million lines of text because of memory issues but I managed to find the proverbially needle in the R packages haystack that allowed me to use the entire dataset!

I had problems with publishing the presentation to RPubs - it just would not work using either RStudio or RConsole but at least I had a fall back position of placing the presentation on my own website.

It took me three attempts to complete this project, nine months (Jan-Sep 2016) and about 300 hours in total, I didn't give up so nor should you, you can do it! And Good Luck! Hope to chat with you on the Data Science Specialism LinkedIn Group for Completers!

Finally was it worth paying for all of the certificates. Yes, it was!

This gives a picture about the data science in live.

Very good for anyone wanting to get into the field of Data Science using R

This is a challenging project.

This class was a huge challenge for me, but it pushed me to learn a whole lot and practice many of the skills that I had learned in previous courses! I had a lot of fun, too. Thanks!

Very very impressive course.

It was tough... learning about something completely new for the final project was a challenge. But it was fascinating.

Amazing project! At first glanse It looks strange, but de facto it's standart data science problem: you should analyze raw data, clean it, build some models and make data product. I highly recommend this capstone.

Excellent course and this module! Makes you feel sort of real work :) Lots of interesting findings while working on the project.

This class provided a good background on the principles and process of Data Science and related research. The R material was very good and the assignments and capstone project will force you to become a good R programmer. The statistical analysis materials were also very thorough. Overall, the courses were well taught and the material was relatively easy to follow and learn.

I enjoyed doing this challenging project

Honestly, there is very little guidance for the project and it deals with a whole new type of data: text. That's when you find out that working with quantitative data, like all the previous courses, is easy. I got my ass kicked throughout 3 sessions in order to finish this thing. But you know what? Maybe that's how it should be for one to learn something.

Great course, challenging and fun. I have learned a ton in a short time.

Practical approach to learn Data Science.