TM
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Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.
WO
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This course for me was very challenging, not only for the assessments but also because I introduced new tools to my study like APIs. I really appreciate the time and the knowledge you gave me.
By Hardik R S
•Feb 24, 2019
Little bit hard
By Robert B
•Apr 20, 2022
A great course
By adetunji p
•Feb 23, 2022
it was awsomee
By Deepak N
•Aug 12, 2019
Good exposure.
By YIFAN H
•Nov 10, 2019
真的难,对我这个初学者来说
By Angam P
•Sep 15, 2019
great course
By Ernesto C M P
•Jan 16, 2022
good course
By zoubair a
•Jun 2, 2020
good course
By Magnus B
•Jun 10, 2019
Fun course!
By Mustafa M M E
•May 28, 2023
very good
By Abdulla M
•Nov 6, 2020
very good
By Amanullah K
•Oct 31, 2020
Excellent
By Satishkumar M
•Jan 9, 2020
Average
By Prayag P
•Jul 30, 2020
Good !
By Romero R J Y
•May 25, 2024
nice
By Narmeen i
•Sep 10, 2021
good
By Andrian R N
•Aug 15, 2021
Cool
By Ben G
•Aug 6, 2024
Let's start with the good: The activities. These are great reviews of what we have learned in other IBM courses, with some new stuff thrown in. I learned a lot. So why only 3 stars? The course has several basic problems that caused me to waste a LOT of time. 1) Unintelligible instructions/materials. There are so many grammar spelling errors, things copy/pasted into the wrong place, etc that it can be quite hard to follow. This is common in IBM courses but in this one I really felt it. 2) Technical issues. Labs crashed several times for me. In the Dash lab, it was particularly annoying, as the work cannot be saved in the lab itself, and so I lost all progress every time there was a crash. To make things worse, the staff moved several of my labs to different locations, forcing me to redo several hours of work (hopefully this is just a once-off problem though). 3) Some strange activities. For example, how does finding everything that starts with 'CCA' help us to answer the research question? Yes, it might be good practice in it's own right, but why can't we get practice by working towards the stated goal instead of by doing random time-filler activities?
By Tania D
•Aug 21, 2020
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 Thøger E R
•Sep 14, 2022
The curriculum and project work was fine. Notebooks to complete were OK, although not flawless. The final presentation format was... bad. A written report in the form of a 50 slide PowerPoint presentation is *not* a good habit to be teaching future data science professionals. Plus the instructions regarding what was expected were either ambiguous, confusing, or absent. The curriculum is great and I learned something. The testing procedure was extremely tedious and poorly thought out and in dire need of a major overhaul.
By John F
•Sep 14, 2022
Very prescriptive and guided. Everything I have come to expect from Coursera. Little room for critical thought or original content. Designed for begineers. I am surprised this is an IBM course beyond building the user base for its tools. The marking Rubik's are too prescribed to provide accurate marks which matters little given the way in which they are applied. The final powerpoint assignment should be replaced with a report and a ten slide deck.
By Marius S
•Oct 14, 2020
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 Paulo R M d C
•Oct 17, 2022
I went through many problems to complete the Plotly Dash labs which puts up a small HTTP server on a non-standard PORT. I had to setup an entire environment in my personal computer to work around them. Also, due to the lengthy labs of this course, many of my colleagues reported problems running out of CUH in IBM Watson environemnt. I believe 50% more CUH would suffice for this course.
By Deleted A
•Jul 31, 2020
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
•Jun 2, 2020
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