Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,304 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

Apr 25, 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!!!!

Apr 13, 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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3501 - 3525 of 4,972 Reviews for Tools for Data Science

By Dan H

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Jun 25, 2019

Some of the lectures need to be updated.

By Suman D

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Mar 24, 2019

I still find the course needs an upgrade

By Nicklas N

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Jan 16, 2019

A good overview of open source tools for

By Suleyman B

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Jan 3, 2019

IBM Watson section must be updated asap!

By archit p s

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Dec 28, 2018

good for begineers. informative and easy

By Antonio C L

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Mar 28, 2026

introduccion a lo basico de R y jupyter

By Luciana M

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Feb 21, 2021

Really ejoyed Labs and practical tasks.

By Golla M

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May 31, 2020

Its a good platform to learn new things

By Karabi D

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Apr 2, 2020

I have learned from this course. Thanks

By Austin

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Jan 20, 2020

Not bad but need practice areas in them

By Aniket S

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May 3, 2023

My IBM Cloud Trial code is not working

By Joseph F D D

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Oct 18, 2021

Exam questions/answers need polishing

By Biswa B

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Apr 22, 2021

well designed course and good content.

By gabriel h

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Sep 7, 2019

Good course but a need a little update

By Quan P M

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Aug 16, 2019

IBM Cloud has been updated with new UI

By senzo m

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Jan 22, 2020

Really informative and easy to follow

By Jiyuan K

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Aug 16, 2019

too simple introduction for each tool

By Taimore I A

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Jul 30, 2019

Good intro to the data science tools.

By anjula e

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Mar 19, 2019

IBM Watson videos were a bit outdated

By ANA P

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Aug 31, 2024

esta completo y la practica me gusto

By Harish R

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Apr 28, 2021

Missing image clarity on the videos.

By Hamza H

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Aug 29, 2020

Some of the videos had a bad quality

By Matthias G

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May 11, 2020

Not all applications were up to date

By Abel F

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Feb 18, 2020

Good starting point for data science

By Esau H H

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Sep 9, 2019

Rather simple but gets to the point.