Learner Reviews & Feedback for Tools for Data Science by IBM
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FD
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Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.
FC
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It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.
2901 - 2925 of 4,734 Reviews for Tools for Data Science
By Mahesh L D
•May 26, 2020
Learn new open source data science tool like Jupyter notebook, R studio. good practical hands on Jupyter notebook.
By Nitin A D
•May 22, 2020
Great course to get the knowledge of different tools available for working with data science and machine learning.
By Md H H
•Feb 8, 2020
Great Introduction to the Open Source Data Science Tools. But I would expect the tutorials to be easier to follow.
By Roberto M
•Nov 17, 2019
They need to upload the new videos, because the videos are with the old version which is very difficult to follow.
By Prasanna K
•Aug 3, 2019
it is very entry level course and lucidly explain. I would suggest to improve the difficulty level of this course.
By Marco
•May 11, 2019
i could not get access to the same screen as the one showed in the video.
maybe it's me, maybe it has to be checked
By Nugraha S H
•Mar 21, 2020
The videos need to be updated. The interface in watson studio is completely different to the one from the videos.
By Eglė T
•Jan 26, 2020
The course information is outdated and difficult to follow. Other than that, great overview on open source tools!
By Prajeesh R
•Jul 10, 2019
This resource on open source tools on data science is good, but it's kind of outdated video. Rest all are perfect
By Kate O
•May 9, 2019
This course provided a good introduction into open source tools for data science, including some basic tutorials.
By Will H
•Apr 9, 2024
Some of the videos and plug-ins were outdated but the overall course was a great introduction into data science!
By sibriu a
•May 14, 2023
course is well structured and the thing is that i recommend is to bring in a human being to deliver the material
By Peter M
•Jan 16, 2022
Great course with amazing content, however kindly update the video content to suit the updated IBM user display.
By Patricia P
•Apr 18, 2020
Had some difficulty sharing my class project in Juypter notebook on Watson, but otherwise very rewarding course.
By Partha S D
•Feb 17, 2019
Only tools related to IBM were discussed. I was expecting some videos on installing and configuring those tools.
By Xinyue L
•Jan 18, 2019
Good introduction of open resources, though some contents are outdated and caused some unnecessary waste of time
By Parvathy D
•Dec 15, 2020
It was fun to get a hands-on experience! It broke all the misconceptions and fears I had towards data analysis!
By Jude S D S
•May 6, 2020
Good course. learned a lot about open-source tools for data science, the only bad thing is videos are outdated.
By Hemanth V
•Jul 18, 2019
In last week, I think videos has to be updated, as IBM watson studio UI has changed for Data Science Experience
By Nicholas J F
•Apr 19, 2019
This is a good course, but they really need to update the screen shots to be up to date with IBM Watson Studio.
By Jason C
•Feb 4, 2024
Course was pretty good, the lesson on R was very glitchy and the code for visualizations kept throwing errors.
By leonel j c t
•Jul 2, 2019
It was a nice course but I also felt like I should have had some previous knowledge which was a bit confusing.
By Bhavith K R L S
•Aug 1, 2019
good course but in videos there are old version explanations, but there are explanations in discussion forums
By FIGL
•Jun 14, 2022
Very interesting; there are so many tools. there should be more labs; minimaly 1 per tool available on IBM.
By Carlos A C G
•May 13, 2020
There are some outdated material, but after a quick search and common sense you can continue without issues.