IBM의 Applied Data Science Capstone 학습자 리뷰 및 피드백

It was hard work but great experience

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.

This is where you apply what you learned. I must say it is challenging, interesting and absolutely great. !!

This course is great for testing all of the knowledge acquired throughout the Program and providing a good start to a professional portfolio of projects.

the capstone depends of the person, for me was difficult but at the end I learned a lot

Very professional

I had to use almost all my skills I have obtained during IBM certification course. It was extremely useful and I feel now my skills enhanced.

Great course to get hands-on experience on complete data science methodology!

Good course. I learned much by running this project.

completing the Capstone project makes you eligible to handle any data science project

Great hands on course which gives a solid foundation to enthusiastic data scientists

Lets you do the actual work of working on something you like with all the tools this course has equipped you with in previous courses.

Very good that, This modules makes the preparer to learn and practically implement the concepts what is learned in the last 8 modules.

This is very helpful.

I considered the project Advanced level for a beginner in Data Science

Intense and very rewarding at the end of hard work :-)

It is nice to put all the learning into test, work on some creative project.

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

Little bit hard

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.

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.

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

Some things were outdated and did not work properly for me.

Peer-graded assignments where one has to create a github repository is totally unnecessary.