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 Marco G
•May 4, 2020
Nice overview of open source tools available on multiple providers. Lower grades because the IBM Cloud videos are out of date.
By Prashant S
•Apr 11, 2020
The course should have included few case studies and more examples on these tools otherwise nice exposure to open source tools
By Portia T J
•Jan 5, 2020
Some points are not explained in a clear way. The link provided by course is not working. I had to go to IBM website directly.
By Santiago M
•Aug 23, 2019
There are some outdated videos in this course. I think it would be cool if you could to update the videos about Watson Studio.
By Sai T
•Oct 21, 2019
Very basic and does nothing more than mention the open source software and their features at a very shallow, and basic level.
By Christie
•Dec 16, 2019
It was an OK review of the tools but the course definitely needs updating.
The material is not suited for absolute beginners.
By Bianca P
•Aug 9, 2022
some of the videos are outdated and you cant follow step by step but nothing youtube and google cant help you figure out.
By Eva V
•Mar 19, 2023
The assigments were not well explained
Also there were two set of different instructions for made the peer-view assigment.
By Alberto M
•Jan 24, 2022
It goes very in deep in the tools you can use. But a bit long in my opinion. Wish to have more practical stuff to do soon
By MANIKANDAN T
•Jul 1, 2020
Most of the topics are unable to follow. This course doesn't seems to be designed for beginners, It could have be better.
By Xinyi W
•Jan 6, 2020
The Waston Studio videos are outdated.
Time consuming to figure it out, esp. when your internet was not that good either..
By Angeliki R
•Jul 5, 2022
In week 3 most of the videos were outdated. Watson has a different layout and it was not easy to follow the tutorials.
By Mathijs d G
•Jun 22, 2020
Great if you have or will have a job at IBM, otherwise not as interesting since you come in contact with many IBM tools.
By Richard W
•Jun 22, 2023
Great introductory course, but does not provide training for the use of the various software in data analysis settings.
By Lebogang M
•Jan 22, 2021
The Github modules were rushed and not beginner friendly. Everything else was good though. Great quizzes and assessment
By Susan S
•Feb 17, 2019
The data science experience page demonstrated in the video does not match the actual interface. It was quite confusing.
By Alok M
•Jan 9, 2020
IBM Watson Studio was pretty confusing and it wasted a lot of time. please improve it. Overall satisfactory experience
By SREEJESH N
•Nov 5, 2019
Videos are not upto date so for practice session there was lot of time wasted in just navigating to the right content
By RAGU K
•Dec 26, 2018
Easy. You should include more exercises for each too and get students to do some small but real project on each tool.
By Brennan W
•Oct 28, 2022
Overall a good introduction to some tools for beginners. Not much actual practice, but that comes in later courses.
By Jeremy H
•Apr 7, 2019
This REALLY needs to be updated for IBM Watson studio, the tools are completely different than what are in the video
By Alba P
•Jun 21, 2024
A lot of theory and specific resources that are beginning to be left behind (it is necessary to update the content)
By Nourhan N
•Feb 8, 2024
very fast paced when it comes to videos its better if the videos are longer than fast that u cant even collect info
By Jimmy G
•Jun 24, 2019
Very basic. The IBM cloud advertisements make it feel more like a product endorsement than a real course, at times.
By Ismail S M
•Jan 16, 2021
Assignments can be improved, they're parallel with course goal but learning about specific tools is a bit boring.