What a wild ride! The IBM Data Science Professional Certificate was my first exposure to coding and Data Science. The courses prior to the Capstone really do give you enough rope where you can do some cool stuff for the Capstone Project. Throughout the program, I learned where to go when I needed to teach myself something, while I was exposed to the basics.

I'm probably not normal, but I spent 40 or so hours on the capstone project itself. Lots of Frustration at times, but lots of fun as well and I was proud of what I was able to accomplish.

O curso em si é bom, porém pede conhecimentos que não são passados durante o programa, e isso é algo inesperado, porém todos que querem trabalhar como cientista de dados devem estar preparados para contornar e vencer desafios diariamente. Então vejo como positivo essa estratégia de solicitar algo fora do escopo do treinamento. Pra mim foi muito bom, tive oportunidade de aprender coisas novas o tempo todo.

This course was challenging but rewarding. The setting up of the course was really quite frustrating but as everything continued I found myself incredibly engaged with what is going on. This course specialization was my first exposure to what are essentially programming skills and use of the Python language so it was really valuable to be able to produce a piece of work to demonstrate what I learned.

This Course is excellent and it gives Data Science,Methodology,python programming,Machine learning algorithims,Labs Excercises,Assignments and finally Capstone Project is worth to gain very good skills and knowledge.With this course I gained very strong skills and am now very confident in this Data Scientist field. Thank You Coursera and IBM for this course.

This is wonderful platform for enthusiastic Data Scientists aspirants to learn sophisticated empirical analysis to understand and make predictions about complex systems. Demonstrated methods and tooling from probability and statistics, mathematics, and computer science and primarily focus on extracting insights from data.

ThankYou

Hari Kumar G

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!

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.

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.

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.

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.

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.

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.

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.

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!

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

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

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.

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.

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.

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

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.

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.

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.

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!