LD
Oct 23, 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
CS
Jun 15, 2023
It's a great course to get a comprehensive background on Data Science (including ML) and lays the foundation for more advanced courses. It touches on all the areas that are required for data science.
By Jeff H
•Mar 14, 2022
good course until the last week where there were too many competitive non-intellectual tasks
By Piotr M
•Jun 11, 2020
I didn't like that we had to use Foursquare — I could not come up with anything interesting.
By Siddhant S
•Apr 2, 2020
The difficulty could be increased and the scope of topics covered could be wider.
By Tarikul I
•Aug 9, 2022
I do not find the certificate although I have completed this course.
By Mbongeni N M
•Feb 13, 2019
The instructor of the capstone saved this specialization for me.
By Ozkan K
•Sep 15, 2019
I did not find the project relevant to the rest of the course
By Ros R
•Nov 11, 2020
It is difficult. I will like more support from the teachers.
By Tomasz F
•Dec 29, 2021
Expectations of final presentation are not quite clear.
By Alberto I A
•Dec 23, 2019
Broken links in samples and csv data files.
By Shawn H
•Jun 30, 2023
Instruction is not clear here and there.
By Ramakrishnan S
•Jan 23, 2021
Didnt complete the project, Un enrolling
By Rebecca L
•Mar 29, 2022
Not really elaborate for a capstone.
By Artem R
•Nov 5, 2021
Long time check of the submissions.
By Charles J
•May 3, 2020
some lab codes cannot run smoothly
By Abdul M A
•Sep 25, 2019
very vague with the information
By Amey S P
•Feb 11, 2020
It is good for beginners.
By Akshay I
•Jul 25, 2020
Hardness Level High
By 赵圆方
•Mar 16, 2019
really difficult
By MOMNA H
•Nov 15, 2024
no
By Scott W
•Jun 16, 2021
This review was written after taking the other courses in the IBM Data Science certificate.
The certificate as a whole is well worth it, in my opinion, and I feel like I learned a lot about the different aspects and methods to data science, which makes the way this particular course is written all the more baffling.
I have no idea why, after weeks or even months of learning about all these different data science aspects including machine learning, SQL, and other topics, this finishing course is almost entirely centered around the FourSquare API and being forced to use location data specifically.
This course in particular needs a rethink, especially in the subject matter department. Instructions in the labs are vague, and in some cases, don't even work properly. Code is given without explanation of what it does. Only one person needs to grade your project for you to get the final grade.
By far the worst course of the entire certificate.
By Jacob W
•Dec 19, 2022
Covered a wide range of topics across ML, statistics, data visualization, analytics, and more. However, there was not nearly enough application-oriented aspects of this certificate. There were frequent technological errors, as well as errors in the wording of problems and inconsistencies between the lessons and the labs. All in all, I feel like I was given a high-level hint at understanding a wide range of topics, but I don't feel confident in my ability to head into a new project without basically relearning most of it. I've done other more application-oriented projects before for free.
By Hailu K
•Sep 10, 2021
It serves better as a review project than threading all previous courses than as a real project. Especially that the final report is just ridiculous... No one in real working situation would submit such a report: they'd upset their stakeholders.
By Seth C
•Jun 16, 2024
As with every Joseph Santarcangelo course, there is good outline of what to learn, but the communication skills and expertise of the staff are highly questionable. I always end up doing more learning outside of the class than I do in.
By Pablo D B
•Jul 30, 2019
It would have been better if the assignment were split on previous courses. IMHO, this course was way longer than the other courses of the specialization
By Diego A F P
•Jun 16, 2020
Many errors in the lab and some code were not properly explained. The quality of this module was not as good as the others.