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Learner Reviews & Feedback for Applied Data Science Capstone by IBM

2,895 ratings
280 reviews

About the Course

This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing data. Finally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Oct 24, 2019

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


Jan 16, 2020

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.

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1 - 25 of 277 Reviews for Applied Data Science Capstone

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 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 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 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 Jesse Z

Jul 16, 2019

Stay away. Instead of taking the time to teach the material requested in assignments it tells you to go to youtube and teach yourself. It's a pathetic finish to a certification course with such a prestigious company name attached to it.

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 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 Samantha R

Sep 07, 2019

This was challenging and a project is always the only way to really learn anything and struggle through. I did however feel that the forum for this course was not useful and that the mentors/lecturer's let us down. They hardly reply to relevant questions leaving students to feel abandoned. With a project you need some support as many students are not 100% comfortable with the code. One of the other courses has the forum broken up into two separate forums: One for the tech questions and another for requests from students to review - this was clever and worked well. Im giving this 2 stars based on the support and lack of direction for the project. May have also been nice to get options for a dataset - not easy to find a dataset in the public domain (spend hours looking for good ones)

By Shannon R J

Dec 02, 2019

Capstone implies apply what you learned throughout the program. I appreciate that you were able to work in things you learned of your choice if you wanted to, but the sole requirement and focus of the capstone shouldn't be to include something that was just introduced. Also, the graded lab that isn't part of the final project cannot be completed with the knowledge provided by this course. I should NEVER receive instructions to check out more help on YouTube from a course for which I am paying. I will not recommend this course to anyone.

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.


Dec 05, 2019

Started with no programming knowledge, took this while working a full time job, it was not always easy, but i am really glad that i took the decision to go out from my confort zone. Today i can handle topics like machine learning, data analysis and visualization with python. thanks for the IBM team who really has done an amazing job on this course.

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 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 Theodore G

Jun 20, 2019

Very difficult to manage the scope, but it is a self-learning process. Recommend extending the Capstone course another week or two, to encourage the students to go all in on their work.

By Samir S

Feb 15, 2019

Think this one should have been marked by the course moderators and not fellow students.

By Ashish D

Dec 22, 2019

Utterly useless. It mandates a learner to work on geo data related project only.

And that too using a very specific api and data.

No option to work or submit meaningful capstone projects.

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 Piyush L

Oct 21, 2019

This is the best part of the specialization and I learned a lot in this Capstone Project. If you've been doing all of the 8 previous courses, believe me those 8 courses are nothing compared to this course when it comes to putting time and hard work. You will learn a lot of things including web scraping, connecting to a url, using geolocation services to get data about a location. You'll also use foursquare API to get popular venues in a particular location. This project is super interesting but at the same you have to put in a lot of work too! It took me more than a month to do this capstone alone but it can be easily done in around 3 weeks if you're dedicated in completing it.

By Nur C N

Jul 23, 2019

This course is really good and give enough challenge on the final project, especially on how to get data from multiple sources: scraping data from web, call APIs, and visualize it on map after call the clustering algorithm. I like the way we should prepare all material to complete the course like visual presentation with slide/blog post, report, and share the code in GitHub. Really glad I take all these 9 courses, can't wait to take other specialization course.


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 Sumit G

Jan 26, 2020

The course was very helpful in presenting me the world of data science, what exactly are the things we need to be proficient in to excel in this field ! Best course of all was Machine learning with Python, you will enjoy doing it ! and we need more questions in quiz to test what student has gained at every step.