NK
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The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.
MA
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The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.
By Naeemah P
•Nov 5, 2022
It says i completed the course but its not allowinmg me to move forward and i don't understand why?
By satyam a
•May 11, 2020
Can work more on notebooks and things have been updated so there is a need for steps to be updated.
By Jesús S G (
•Aug 15, 2020
A great deal of information where you can learn the basics and most important tools in this filed.
By Hind B
•Aug 14, 2020
It is a very rich course, however, I would like to hand more practical exercise on different tools
By Nikhil J
•Mar 30, 2020
Great resources, but more focused towards "Open Source tools of IBM". Felt could have been better.
By Jiannina P
•Mar 18, 2024
It was a good overview of the different libraries, packages and other tools used in data science.
By Samuel O N
•Aug 11, 2022
Help me a lot to learn different tools that exist to help datascientis to easy get the job done.
By Taiane M B
•Feb 25, 2022
It could have much more of pratical exercises, it was at certain points very teorical and tiring.
By Frugier E
•May 7, 2020
Good overview of the main tool. Jupyter Lab is particularly well covered. It is getting exciting.
By Zuhal D
•Jan 10, 2020
this course useful but some photos, interfaces tools old. I think interfaces of tools can update.
By Riccardo C
•Nov 29, 2019
Clear and substantively approachable. Hoping in further data analysis models in the next courses.
By Christopher D K
•Aug 28, 2019
Actually, It is a great study material, but there are some video that repeat the previous lesson.
By Ana C T M
•Feb 17, 2019
There has been some issues accessing the tools used on this course, but overall it was very good.
By Dipakkumar B
•Feb 13, 2021
This course is really great for a beginner who wants to develop their a career in Data Science..
By Francesca, M S
•May 30, 2020
I had some difficulty to use IBM watson studio the first time. The video lessons are not updated
By Wai L
•Mar 29, 2020
Really easy to follow along until Week 3 when the videos were all out of date. -1 star for that.
By BRIJESH K
•Jul 10, 2019
good basics concepts which can be useful to applied on future perspective data science projects.
By Chinwe N
•Mar 8, 2019
IBM account instructions should be updated - took a long time to figure out how to set things up
By Muqqadam T
•Aug 11, 2024
Was great But Should Be More Focused On Practical Work Rather Than Theory Overall Was Great Exp
By thippeswamy m
•Apr 17, 2024
It is really good learning experience, it covers necessary tools required for Data Engineering.
By Farizal J
•Jan 11, 2019
It needs to be more challenging but happy to be introduced to various helpful tools nonetheless
By Michael M
•Mar 29, 2021
Great course it will surely activate your interest in data science as well of learning coding.
By ashish k b
•May 14, 2020
It is good Course for understanding data Science open source tools and practical use of tools.
By Andrei B
•Jan 17, 2020
Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.
By Anguidou N A R
•Aug 22, 2019
Un cours vraiment tres interressant
j'ai beaucoup apris sur Jupiter Notebook, Rstudio, Zippelin