DE
Aug 14, 2022
I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.
MO
Apr 17, 2023
the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.
By Karl J
•Feb 25, 2020
Great overview of the tools, would have had more hello-world-type assignments for all of the new software packages introduced.
By Giovanni P
•Jan 6, 2020
Interesting, yet not perfect course. A lot of the video contents need to be updated, as well as the hyperlinks of the lessons.
By Dinesh K R
•Oct 4, 2019
Very useful to get an insight into the data science tool, however, practice is required to be done by those who do the course.
By Sajid M
•Sep 15, 2020
It was quite informative and has helped my pick up new skills like creating basic Jupyter notebooks using Python programming.
By Declan H M G
•May 8, 2019
A broad a detailed description and introduction to the open source tool available, with a good basic guide on how to use them
By Deleted A
•Feb 25, 2019
Excellent, but the Watson studio video's need to be upgraded for the new user interface. Otherwise it would have been a five
By Rachana S
•Aug 1, 2019
I thin a few more exercises could be added to the course in order to make the course takers a bit more fluent with the tools
By Luiz A G
•Dec 24, 2022
It's a good course, but I had some trouble accessing a machine learning tool needed by the course on the IBM Cloud account.
By Jeffrey G D
•Mar 28, 2019
There were a couple of instances where the review question in the video asked about something, before the video covered it.
By Faezeh A
•Sep 24, 2018
The tools that this course introduces, are helpful and I will use them. But I think some of the explanations are too basic.
By Rithwik P
•Apr 16, 2020
I feel the videos could be updated with the Watson studio instead of data science EX ,simply causing unnecessary confusion
By Alina T
•Jun 14, 2019
The instructions regarding how to access Watson Studio were not correct (outdated), so I had to figure this out by myself.
By Kevin C
•Jun 8, 2019
Great course, however there are a lot of people including myself who got a bit confused with the final project submission.
By Nader A
•May 27, 2019
Although the represented content was well formed, I think introductions to each technology and section was so rudimentary.
By Rodrigo P B
•Jul 20, 2021
Excellent course. I learned different ways and functions to manipulate data, treat, refine and produce consistent models.
By Muataz A B
•Jan 24, 2021
I liked the course, there were parts that the videos were not clear and the reading takes a few attempts to be accessible
By Sunil P
•Jun 29, 2020
Nicely designed course, lot of inputs,
Spoken English of some of the narrators was difficult to understand during videos.
By Boo G
•Jan 8, 2019
some of the options on Watson data Experience work a bit different than they do in the videos but otherwise good content.
By Dương T
•Sep 7, 2020
This course provides a wide and variety of information about popular data science tools, especially which came from IBM.
By Enrique P
•Oct 12, 2018
I think the video of the Zeppelin Tutorial is not clear at all, especially for those like me who don't know programming.
By Mattias M
•Sep 16, 2018
The content was interesting, I was hoping for a little more coding and maybe less Watson, even if it is very interesting
By Orlando D
•May 15, 2020
pretty good experience , the IBM site changed their look. Was a little confusing to create notebooks but finally got it
By Setia B
•Jul 28, 2019
The course is quite informative especially for those who are looking for cloud alternatives to do data science project.
By Fabián E V S
•Aug 29, 2022
I liked this curse. But in my country I couldn't open some options of IBM Watson Studio. Also the final exam is rote.
By Alex U
•May 9, 2021
Good course, but sometimes the sound in videos wasn't as good as always. That is why it was a bit difficult to listen.