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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,855 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

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.

RR

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To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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4301 - 4325 of 4,722 Reviews for Tools for Data Science

By Ahmed S

Aug 13, 2022

this course is pretty boring to be honest, it has some potential to be useful but the presentations and the way is not intersting

By Taiki H

Aug 17, 2021

I found it to be a bit waste of time. This course was more expositive than explicative and the quizzes only evaluate your memory.

By Juan I

Jun 15, 2019

The instructor seemed to be using a different (most likely the paid) version of Watson. This made it hard to follow the lessons.

By Dhruv B

Apr 7, 2020

Instructions are not clear and software on which tutor teach is look-alike old which caused me issues to understand what to do.

By Abe H

Mar 22, 2024

Rather than summing up all Data Science, I'd learn more from zooming in on one or two, learning how to use them in more detail

By Deleted A

Feb 20, 2020

There seems to be a disconnect between almost everything. Tutorials, lectures, labs. Only a few were helpful but ultra basic.

By Evangelos M

Sep 26, 2018

Sites look different now and the video lectures described an older version I think. Also lectures weren't much understanding.

By Daniël v B

May 18, 2020

The course needs a revision regarding watson studio. Spend a lot of time getting it work, because video's aren't up to date.

By Denis R

Dec 9, 2019

The videos are not up to date with the latest Watson Studio.

I have lost a lot of time to configure Watson Studio correctly.

By Daniel Z

Feb 9, 2020

Not very well structured, sometimes outdated, sometimes with questions where the answer are only given at a later stage.

By Leon W

Apr 4, 2022

Half of the course was advertisement for IBM Products. I am taking this course to become independent of such products.

By Anton v Z

Mar 2, 2020

Really enjoyed the course. Only complaint was that videos are slightly outdated so had to go find up to date tutorials.

By Rodrigo C

Aug 23, 2019

Really short course, the contents are poorly covered, in one lesson the quick quiz didn't even match the video content

By Iordanis C

Mar 25, 2020

inaccurate walk through the tools

there are no supervisors able to check if the peer to peer grading is correct or not

By Spencer J

Apr 7, 2020

Multiple tools referenced in this course either failed to work or totally unavailable at the time I took the course.

By Daniel B

Mar 14, 2020

Unfortunately a lot of this course is dated with instructions that no longer work or dead links. Quite unfortunate.

By Ankit J

Sep 16, 2022

This course needs to apply more practical approach along with object oriented programming in order to be useful

By K L

Nov 19, 2021

There was a challenge with the Skills Network lab throughout the course. It caused a delay in my learning track.

By Alex L

Apr 28, 2019

Videos and text is redundant. Project is too easy. Course should be complete-able within one week, not three.

By Kyle S

Jan 20, 2024

The assignments are poorly written and lack specificity leading to issues in the peer grading. Poorly created.

By Vincent B

Nov 26, 2019

Confusing sections because interfaces presented are different than the current tool.

Needs to to be updated!!!

By Anirudh S

Mar 3, 2020

course videos are outdated. hence its tedious to follow the assignments and software by watching the videos.

By Eduardo D M

Jan 21, 2020

Las plataformas de IBM dejan mucho que desear, tuve muchos problemas iniciando sesión en IBM watson studio.

By Laken B

Apr 6, 2020

Need to update videos. Not the same as current webpage layout.

I love Jupyter Notebooks though!

Keep it up!

By Tony F

Jan 2, 2023

You can learn all this stuff on your own by watching YouTube videos, and you don't have to pay Coursera.