Good

nice

good

Good

AAA

<3

This is the final course in the IBM Data Science Certificate and it is primarily focused around a project of your choosing. First, you learn how to scrape data and use the Foursquare API, which is quite helpful as these skills are generally transferrable. Then you'll need to come up with an idea that is loosely related to location data in some way. You'll have several weeks to implement your idea and write a report and a blog post/presentation. The final project is a lot of work.

In my opinion, the grading system could be better. You rely on peer reviews to pass the course, but only one peer looks at your work. Multiple sets of eyes would be fairer and hopefully generate more feedback. The discussion forum aspect could also be improved to promote collaboration and not simply requests to "please review my submission".

All in all, a decent guided Capstone course. Be prepared to do a lot of work on your own as there is not a lot of structure or hand-holding. I am very proud to have completed a formal project/report that demonstrates how much I learned over the course of the IBM Data Science Certificate.

To whom it may concern,

the course overall is very targeted to useful tasks and knowledge. One thing that could be improved is the final project with perhaps several options that are more specifically defined than the current form of the project. I understand that this will encourage copycats to participate. Another thought would be an interaction with other peers.

Thank you for the consideration.

I would have liked to come up with a capstone project which did not encourage me to use location data from Foursquare, and rather use other data to come up with problems and solutions which do not necessarily have to do with location data. But all in all, it was an interesting course and great knowledge was gained

Overall, the course is very practical, you have the chance to do a project use the technology you have learned so far, and get a feeling of what Data Science work looks like. Recommend for those who interested in Data Science Area.

Valuable course to know more about Foursquare API, but short in content (more focused on assigning a final project). Maybe more tools or even templates for reports and/or presentations would make it more useful.

Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.

The capstone project was not very identical to what is covered in the course. We are briefly taught Foliujm Library but at the end, it was our final project. This was a minus point.

Overall this is a tough course, since it mainly involves building your own project with your idea and using the tools,technologies which we have learnt in previous courses.

Solid finisher with enough freedom and constraints to give a framework for notation yet remaining interesting while preventing to drift away.

An excellent course to learn how to use location data in data science. The last couple of sections can be long hours but worth the effort.

awesome project, but report writing and report preparing is very tough task, youngsters don't like time waste on report

A good finish to the course, but a bit too much work. This final project + report + presentation seemed a bit excessive

The contents of the courses are good, but I feel that there could be more support to student questions.

Good course that teaches the fundamentals of Data Science, although not much focus on machine learning.

Challenging and good, it is good to be creative and invest the necessary hours to get a good project.

touch assignment but it drives me to keep studying and research from several sources on the web. ;)

The project more or less limit the ML algorithm to unsupervised learning only

Hands on project it involves and let us do all the concepts learnt so far.

The course should have explained more about using the Four Squrae API.