Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,164 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

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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3326 - 3350 of 4,765 Reviews for Tools for Data Science

By Abhishek S

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Feb 19, 2019

Good for understanding open source tools.

By Inna K C T

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Jul 18, 2024

need to improve instructions on hands on

By Kidus J

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Jan 19, 2024

A very good stepping stone for beginners

By Alison G

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Apr 14, 2020

great to get familiarized with the tools

By Michael M

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Mar 10, 2020

Good overview of tools and IBM platforms

By Ivo S C C

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Sep 14, 2019

The exercises could be more challenging.

By Praveen A

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Jul 1, 2019

Great introduction to Jupyter Notebooks.

By Dan H

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Jun 24, 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 Luciana M

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Feb 20, 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 1, 2020

I have learned from this course. Thanks

By Austin

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Jan 19, 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 17, 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 6, 2019

Good course but a need a little update

By Quan P M

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Aug 15, 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