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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
30,122 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

RR

Apr 24, 2019

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!!!!

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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4126 - 4150 of 4,932 Reviews for Tools for Data Science

By Ahmed A A

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Apr 21, 2020

DSX is not working as shown in video. The course was useful. Thank you

By Edrick K

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Apr 10, 2020

Please update the video as its content is already outdated. Thank you.

By Nolan S

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Apr 4, 2020

I had a very difficult time connecting to the labs networks throughout

By Harsh

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May 7, 2019

Should have shown much details of cloud computing in IBM Watson Studio

By William R

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Apr 22, 2020

I guess that more exercises would help who are looking for knowledge.

By Camilo H

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Mar 12, 2021

Great information. Clear definition and labs are easy to understand.

By Anthony L

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Dec 19, 2018

This course is good but, lacking a proper introduction to the tools.

By Ayush S

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Jun 23, 2024

very short videos with to much information without deep explanation

By Perdamen S

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Jan 27, 2023

some of the hands on practice or lab on Watson Studion cant be done

By Alexander I

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May 12, 2023

I found this course very broad and not focused. It is very rushed.

By Hong Z

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Nov 2, 2018

IBM Waston Studio is sucks. I can't log in with the cloud account.

By Guy L

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Jan 12, 2020

I like the subject , but so much of the material was out of date.

By Harsh V

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May 6, 2022

In-depth videos about SPSS, Model Flows etc. felt over-whelming.

By Mohammed A

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Apr 19, 2021

The author is talking too fast which also causing me a confusion

By Huda

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Apr 18, 2020

This course needs to update some of it's material. Rest is good.

By Gabriel D V

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Mar 30, 2020

It was a good course, but could be condensed and more the point.

By Reyna P

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Feb 16, 2020

Materials were not updated and it was confusing to follow along.

By Carolina S L

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Feb 1, 2022

The explanations in this course are very superficial and fast.

By Siddhartha S

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Apr 13, 2021

Most of the content was not learner friendly..still enjoyed it.

By Christian R

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Jan 4, 2020

This feels poorly constructed and dated... Useful tools though!

By María F C Q

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Jan 21, 2020

IT IS NECESSARY TO UPDATE THE VIDEOS ABOUT IBM WATSON STUDIO.

By Marian G

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Jan 2, 2019

The amount of content is small and scratches only the surface.

By Grace S

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Jun 21, 2022

I completed this course but it says "no certificate offered"?

By Jesper S B R

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Jan 29, 2020

There is a big gap in difficulty from course 1 to this course

By Kateryna K

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Feb 22, 2023

Watson Studio Material was badly made and seemed just messy