Learner Reviews & Feedback for Applied Data Science Capstone by IBM
About the Course
Top reviews
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
Very good capstone project. Learnt lot of insights on how to represent data through out this course.\n\nVery good starting point for ""Data Science" field. I would definitely recommend this course.
601 - 625 of 669 Reviews for Applied Data Science Capstone
By Jan-Willem B
•Very good course with helpfull assignments.
By Fab T
•Very Difficult to finish..big last project
By Siwarak L
•The detail of the course is quite limited.
By Abdul S M G
•Good introductory course on Data Science.
By Umesh S
•please update the practice notebooks
By Yu M C
•very long to get anything reviewed.
By alberto i
•Kind of difficult for beginners
By 王童燕
•Interesting projects included!
By Napattarapon P
•Useful course for starter
By Hardik R S
•Little bit hard
By Deepak N
•Good exposure.
By YIFAN H
•真的难，对我这个初学者来说
By Angam P
•great course
By z.alimouch
•good course
By Magnus B
•Fun course!
By Abdulla M
•very good
By Amanullah K
•Excellent
By Satishkumar M
•Average
By Prayag P
•Good !
By Tania D
•The assignments were interesting especially when we had to think of our own problems to solve. It would've been really helpful if the course was regularly updated, specifically when it comes to the first assignment where a lot of students experienced challenges with their machines and the course was designed with old operating machines in mind. the discussion forums would help a lot if instructors actually answered the questions and not directed students to links that were of no assistance at all. The course material could really do with an upgrade.
By Marius S
•The github guide was very helpful and informative. I wished there would have been more explanations how to interprete the results of evaluated models and about machine models in general, when to use which model for example. Also some details were missing like how to balance imbalanced data, should the data be balanced and then visualized or vice versa? Fitting a model is easily done, but it's the details that make the difference.
By Dr_G@ur
•The course gives the learners a perfect platform to practice the concepts learnt throughout the Data Science specialization. Final assignment is unique and interesting and the course makes sure you practice enough before taking it up. A good experience, but issues with Foursquare now and then makes it a little hectic to get done with the course.
A nice course though. Liked it!
By PRANJIT G
•The journey was very informative but at the end of the course and submitting all of my assignments before the deadline , i got my course certificate with no instructor signature . A very disappointing fact as I worked very hard to complete the specialization within my 7 day free trial which is till 8 pm today I.S.T
Never expected such kind of irresponsibility
By Shane W
•The capstone content needs to be thoroughly edited for clarity, especially in the instructions on what exactly the instructors are looking for in the final deliverables. Some of the peer-reviewers seem to be confused, and I'll admit I was a little confused myself reading through the instructions the first time.
By Bart F
•The final capstone felt like a mis-match with the previous 3 courses of the specialization. The capstone was also the final project for other specialization which would explain the mis-match.
Even though I learned a lot, it wasn't entirely clear what was actually required from me.
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