Amazing Course

It was very good.. Overall. few things I like to add.

Sharing my notebook from Cloud was not working a lots time.

GitHub , or Jupiter Notebook with simple 2 lines of coding did not work..

Also, a lot of time, cloud machine just spins.. -- without showing it

My resource got close to limit , - Could not add more code..

Instructions were out of date, could not be applied current version

Working with Cloud machine was challenging !!

Ultimate journey through Data science Course.

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.

Hard final assignment. But a good way to wrap up the certificate.

Little bit hard

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

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

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

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

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.

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.

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.

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

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.

Very Difficult to finish..big last project

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

Fun course!

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.

Kind of difficult for beginners

Good exposure.

great course

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.

Was very good although I was expecting something more advanced

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