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.
par Mathang P•
This is an excellent course. I had learnt the real-world applications of foursquare API and how we can find out the restaurants, coffee shops, shopping malls etc. within a particular neighbourhood and how to cluster them. I am completely satisfied with the course and content is of very good quality and the lab sessions are excellent too!
par Abhishek S•
Great Specialization. I thank the whole team of IBM and Coursera for providing me this valuable knowledge. This specialization is my first stepping stone towards my aim of becoming a Data Scientist.
Also, I would love to convey thanks to Coursera for this wonderful Financial aid program, only because of which I completed this course.
par Christopher D E C•
What a fantastic learning experience! This course series has been an amazing journey and I'm proud to say I finally learned Python (and data science) after years of being afraid of programming. This course series has opened many new possibilities for me and I highly recommend it to anyone curious about data science!
par Kalirajan N•
The capstone project lets the learner to apply their Data Science skills learned through out the course. All the assignments are peer graded. It is good in one sense, however periodical review from the course admins might make the course grades more authentic and not left to the mercy of the peer reviewers.
par Tareq A•
It's a high technical course includes new professional and market need tools. In addition to that it review the previous courses tools and used to build our final capstone project.
Thank you, IBM, Thank you, Coursera, Thank you, all Instructors and students who participate in the discussion of courses forum.
par Yixuan Z•
I really like the hands-on exercises in this course, very interesting. And the capstone project make me review all skills I've leart in this course. I hope I could become an volunteer TA for this Data Science course and contribute to our learner community. Thank you for providing this course!
par Agustin P S•
I'm glad we get to choose the theme of our final project, because I had a lot of fun, and not having any templates or guides to follow really tests what you have learned until now.
This course can either be really fun or really boring, depending on what YOU choose as your final project.
par Levllyn R•
Fantastic, excellently curated
For the capstone , Week 3 was challenging to use the imports for Beautiful Soup (spent a day here and did not figure it out) . As this is different on different platforms, suggest improving this part . Else I loved it.
par 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.
par 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.
par 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!
par 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
par 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
par 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.
par 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.
par 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!
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.
par 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.
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.
par 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
par 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.
par 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.
par 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.
par 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!
par 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.