Jul 10, 2019
This course is instructive and challenging at the same time. Now I do wish I know a bit more about python and pandas before I jump in this course. But in the end I managed to get through.
Jul 10, 2019
This is a great course and lots of fun. But it is a big commitment and you need to take it seriously. To get the most out of this course you will need to spend at least 30 hours doing it.
By Johan C•
Dec 17, 2018
Instead of only peers review, I think it would be better if someone professional also review our capstone project and gives us feedback
By Alexander D H•
Sep 29, 2018
Had to provide a credit card for FourSquare which I did not appreciate
By Rajayogasri P S•
Oct 26, 2018
I was not too happy with the way peer grade assignment was done and it is being used as a mechanism to grade the course. My submissions were not reviewed correctly and because of that I felt that the course duration prolonged for one more month, and I had to pay my subscription for one more month for no reason.
By Debra C•
Mar 24, 2019
Utilizes skills learned throughout previous courses and puts it all together in Capstone assignment. Found the instructions to be lacking but it is a Capstone so not totally unexpected. I did find some of the instructors comments in the forum to be somewhat unprofessional so maybe some coaching should be done on how to respond to students who pay to take the course; even those that frustrate you!
By Ali C•
Dec 19, 2018
Quizzes are poorly designed. Evaluates only memorized information.
By Ariel E•
Mar 01, 2019
The only problem is that I ran out of hours using IBM watson and the same thing happened with Foursquare when I reached the maximum numerber of records per day and per hour.
We as students should have tools where we can make mistakes without reaching 'limits of usage'.
By Stanislav R•
Jun 23, 2019
I liked working on a project from beginning to end - finding a problem to solve, acquiring data, creating & testing hypotheses. It really puts what you've learned to test. I also learned some techniques that were not covered in the course and other skills like creating Medium posts.
I didn't like the review aspect. You only have to review 1 project and receive a review from 1 person which is not enough. I reviewed multiple submissions and found it very educational. The review criteria are vague and mostly cover just the presentation of results. They don't assess the quality of analysis itself (and it's difficult for an unexperienced person to do without guidelines). Getting feedback from more people would be interesting.
The discussion forums are not helpful since they're spammed with "Please review" threads - and the staff doesn't do anything about it. This applies to the whole specialization.
By Nchedolisa S A•
Apr 01, 2019
This course certainly made me put in the work!! The project requires alot of planning to figure out exactly what you want to focus your analysis on. It definitely forced me to do alot of self-learning in order to complete it. StackOverflow became my best friend when I would get stuck and not know the proper python syntax to execute my desired outcome. Having to create a report and blogpost to document my analysis were definitely two new skill sets I appreciated that this course helped me to learn.
By Toan T L•
Nov 15, 2018
Must take to complete this wonderful specialization.
You will have a change to apply everything you learned. And you have the freedom to choose the topic that you are interested in.
After this course, you will have a report, a blogpost and a notebook with complete code. With which you can showcase your achievement along the certificate.
By Nikolay D•
Dec 27, 2018
Very easy to understand and remember this material
By Jamiil T A•
Mar 30, 2019
A must take capstone project. Enroll for it and you will be moved by the project... Very interesting !
By Ferenc F P•
Feb 26, 2019
This is really challenging course, especially that you get hint on how to use a RESTful API (of Foursquare), how to create heat maps, or create different marking on a map using folium. The Capstone was really challenging, because you can practice what you have learned during the courses of the specialization, like how to start from the scratch a project, how to apply the data science methodology, like business understanding, gathering, analyzing, and cleaning data (most of your time you will spend on this), applying the right machine learning algorithm to solve the problem (modeling), using Jupyter Notebook on IBM cloud and using github. In the end you should also prepare your final report including the business understanding, describing your data, presenting your result, and placing a discussion section in the end. It took me 4 full days to complete the capstone, but I learned a lot.
By LEOPOLDO S•
Jan 09, 2019
Very Good. This is my first contact with data science with python and associated packages.
In the end of the course I'm able to deal with data using python and a lot of tools that helps the job and let this job more fun.
A very well organized and balanced course with videos and very good material for practical labs.
I have a Swisse Knife with me to deal with future researches on data science.
By Ian C•
Apr 26, 2019
Felt a bit constrained by the requirement to include the Foursquare API.
By Clarence E Y•
Jun 22, 2019
The real advantage of completing this course goes far beyond learning the skills that data scientists use every day. The capstone project requires learners to integrate skills, along with domain knowledge of meaningful use cases.Then, with a significant goal in mind, plan the project and execute successfully for peer-review. I think this course comes very close to replicating the actual work products that data scientists do in the real world to a high degree. Of course, dealing with other individuals and project teams are not possible in this format. Having said all this, the real advantage of achieving the certificate is validating to oneself that the basic data science skill set has been mastered.
By Sai T S•
Jun 21, 2019
If I have to say one thing about Coursera or IBM Data Science Professional Certificate course, I would say it as a Fantastic thing happened in my life, I am so happy with it, and I am not going to leave Coursera for ever.
By Samir S•
Feb 15, 2019
Think this one should have been marked by the course moderators and not fellow students.
By Chutian Z•
Jul 31, 2019
I wrote this review after I finished all four courses of Applied Data Science Specialization. Overall speaking, the specialization is good and fairly easy (especially the first two courses). In terms of the Capstone Course, it looks intimidating but it won't be a big problem if you follow the materials closely. The final project is a great opportunity to be creative and to utilize all kinds of sources (and get to know the city you are interested in better). Nevertheless, I think the specialization should include more coding exercises/assignments instead of simple quizzes at the beginning. More hands-on exercises should be added to the introductory courses. Personally speaking, I'd like to get trained more on data cleaning and writing loops/functions.
By Ismael S•
Jun 19, 2019
There should be a clear tutorial on how to scrap a website. The project should be more open and not tight to using Foursquare, and should not be reviewed by other students.
By VASILEIOS M•
Dec 11, 2018
By Naga M•
Dec 16, 2018
This is a very useful capstone project in which you can apply all the learning you have done throughout the course, the more practice you do the more you learn. I like this course from coursera and recommend it for data science aspirants.
By Nikhil B•
Dec 20, 2018
By Piotr M•
Dec 04, 2018
Great, practical course
By Sarah S•
Jan 09, 2019
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 Debangsha K S•
Jan 11, 2019