Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills
Very good capstone project. Learnt lot of insights on how to represent data through out this course.\n\nVery good starting point for ""Data Science" field. I would definitely recommend this course.
By Folorunsho E•
Quite a long series of lectures, but it's definitely worth every minute. I've come to grow from a rudimentary understanding of data science to a level where i can tackle moderately difficult exercises. It was a thralling learning experience for me.
By Ioana B•
The IBM Data Science Specialization includes everything you need to know about data science. The classes are very comprehensive and can be considered as being for an intermediate level. Very well explained and the hands on labs are very helpful.
By Sarah S•
Completing this course has really opened a lot of avenues for me in the internship realm, I feel like I have experience with important concepts that open the doors to the places and jobs I want to go. This course was tricky, but worth it.
By Galib H K•
The Capstone project was great. It helped me to get some hands-on experiment on data Science. Just one thing, the project should be more open and the restriction of using Foursquare API should not be there. Overall, great course really!
By Jafed E G•
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
By Prem V•
This course is really helpful for me, it has given me complete idea about Datascience and lots of Hands on exercise, given me lot of confidence to handle real life data problem alone and bring out useful insights out of it. Thank you
By William B L•
i have learned a great deal about the tools, methodology, and procedures of data science over the course of these classes. All of this will be critical to building a new career. This course has really empowered my curiosity.
By SHUBHAM K•
This last project was given in such amnner that all that we learnt in the last 8 courses could be checked at once. I enjoyed a lot doin this course as well as the overall certification. Thanks a lot mentors, IBM and Coursera.
By Joseph G•
This was great! The review, the practice capstone, and then having the freedom to do our own thing. It took a really long time for me to get it right, but I am so proud of my final product and the fact that I did it myself!
By Emad D•
I've never imagined I'd be able to produce these insightful results and valuable conclusion from the scattered data. It was really fun and joyful going through the entire specialization, I'd recommend this course strongly.
By Brian B•
Thorough exercising of everything learned in the courses that lead up to this final capstone project. Python data structures, absorbing files, machine learning, visualizations, and other essential aspects of data science.
By Shepherd M•
It was really insightful, coming from knowing almost nothing about data science or tools used in data science, it was easy to understand and follow while not feeling shallow. Just the right amount of information density.
By Xiaolin Z•
This capstone project is challenge and fun. You are going to use what you have learned to complete an anlysis of a topic. What is more meaningful thing is that you can learn from others by reading their report and code.
By Ka M W•
Great course. Capstone project courses always sounds intimidating. Nevertheless with the first three weeks with some practices and guidance, it made the final project exercise very much enjoyable. Highly recommended
By Bhavesh G•
I learn lot many new things during this course to complete my capstone project. I specially thanks to Instructor Alex Aklson, who taught location based API i.e. foursquare, neighborhood segmentation and clustering.
By Antonio S•
Great course! A few suggestions to improve might be: make sure the labs.cognitiveclass notebook page work - it's had had problems for weeks; some of the exercise notebooks from the IBM authors have blatant typos.
By Amit A•
I am glad to have taken up this course and it was very well crafted assignment that allows you to use your skills from pandas, data visualization, Foursquare API and machine learning algorithms to name a few.
By Sergei M•
Excellent course that at the same time provides rich set of tools to get insights from raw data and also stimulate to learn a bunch of additional methods and techniques to make this capstone project perfect!
By Aastha M•
This course helped me to apply the Data Science learnings which I learnt throughout the course. Thank you Coursera and IBM for providing such a wonderful opportunity and helping me enhance my skill set.
By Abhishek P G•
Thank you for this course. I get know experience and knowledge in using different kinds of online tools which are useful and effective. I'll use some of them during my lessons. And lots of thanks.
By JUAN S M P•
Great course ! Although it was the most difficult one for me, I enjoyed to much putting all pieces together to solve a problem in the real world ! Thank you very much to the professor an to IBM !
By Franco M V•
Incredible experience! It was a project where we were encourage to apply all the knowledge we learn through the entire programe. This kind of projects make the learning process so enjoyable!
By Manik K•
Excellent chance to push in every concept learnt so far. Best thing about the course is the chance to self identify a problem and find the solutions all by ourselves. Great Content. Thanks !
By Aniruddh M•
This course gives a good overall exposure, in terms of providing the freedom to choose your own set of tasks and explore things on your own, just like any real life projects. I enjoyed it!
By Tsungai J M•
Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.