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 Daniel L
•Jun 5, 2019
This should be a great first introduction to someone that doesn't know where to code and is the first time using one of this tools.
By Emilien G
•Mar 6, 2019
Didn't give 5 just because there are some difficulties to login to your Watson account page sometimes. Otherwise it's really great.
By Jie Z
•Jun 1, 2023
It is overall a good series of modules, but the tools and concepts discussed may be too many for a beginner to digest all at once.
By Shaghayegh G
•Feb 6, 2023
It would be much better if the labs cloud were open source. I could not use the code for IBM and lost the opportunity to exercise.
By Ana M
•Dec 30, 2018
Course was good, but teaching materials reference older version of Watson Studio, discrepancy between versions is a bit confusing.
By Jayne O
•May 4, 2022
It was a little bit tasking for nme considering I don't have a computer science background but I enjoyed the course all the same.
By vipin k
•Sep 19, 2020
Some sections are more dedicated to IBM tools rather than comparing the tools available in market and taking about the best ones.
By Vasudev S
•May 7, 2020
This course teaches you to use many open source tools that too without having to download and setup any software on your machine.
By Collin C
•Nov 20, 2019
Videos are outdated, so it is difficult to navigate IBM's website. The overall material is pretty good for a simple introduction.
By Daniele M
•Nov 10, 2019
This course gave a good introduction to open source tools which are currently being used in the market for data science purposes.
By Chen G
•Sep 25, 2020
I appreciate IBM created this class. But the IBM Watson part is really boring....whole week spent on IBM product is too much....
By Omer L N
•Sep 1, 2019
The content is practical and instructive. Update the content of IBM Watson section with the latest version would be more useful.
By Frank S
•Mar 31, 2019
It was a little confussing that the coursera material did not match the IBM cloud exactly - The could seem to be in development.
By Wade R
•Feb 19, 2019
Great overview of the open source tools available to practice Data Science with as well as an overview of an Enterprise Version.
By Dhanesh T
•Jun 3, 2022
A fair description of useful Data Science Tools. Although dedicating an entire week for proprietary IBM Tools was uncalled for.
By Leonardo B S
•May 27, 2022
Awesome course. The only downside is the command line git hub vídeo tutorials. It is no very clear and has missing information.
By Madeline L
•Apr 6, 2020
Some of the material (i.e. exercise instructions on tools) are slightly outdated but the course itself is a great introduction.
By PARASKEVI-SPYRIDOULA K
•Jan 31, 2020
Even thought the course content is interesting, videos provided are not updated, making the learning experience a bit confusing
By Vin B
•Jan 6, 2020
A little outdated in some parts, but in general a good introduction to Jupyter Notebooks, Apache Zeppelin Notebooks and RStudio
By Ifueko U O
•Mar 28, 2021
I found the course to be quite heavy. I feel like there was a lot of information thrown at me but I enjoyed the hands on labs.
By Amaan S
•Jun 30, 2020
I felt this course could be designed a little bit better.
The Github and the IBM tools modules were pretty vague and confusing.
By Miguel A I B
•Mar 25, 2020
excellent training to familiarize with Data Analytics open source program tools and workbooks capabilities and functionalities
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.