Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

28,245 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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3901 - 3925 of 4,609 Reviews for Tools for Data Science

By Samundra M S

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Mar 16, 2020

Only Very Basic Information on Open Source tools.

By Norton Z M

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Oct 10, 2019

Good course but a little out of date information.

By Sri r k

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Sep 28, 2019

IBM cloud tool and DSX related setup is not clear

By muhammed s e

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Dec 4, 2019

its too defrant between the course and the realy

By Ami R E

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May 5, 2020

Videos in week 3 were very difficult to follow.

By Paolo M

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Jun 25, 2020

Some courses explanations were not fully clear

By Steven A

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Apr 29, 2020

Decent overview of open source tools available

By Jyoti

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Apr 6, 2020

It should have involved more practise sessions

By Jason K

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Oct 17, 2018

Out of date content, no help from course staff

By Diego M B C

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May 7, 2020

Have to update the video of IBM WATSON STUDIO

By WenQiang H

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Jan 25, 2020

A very quick glance about data science tools.

By Otto C

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Jun 14, 2019

A lot of errors and confusion in the project.

By Bhavya N

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Dec 28, 2019

It seems like an ad for IBM Watson. Not fun.

By Kundan K

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May 24, 2019

Learned very few things in three weeks time.

By Xin Y L

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Oct 10, 2021

More on Hands-on assignment please. Thanks.

By Tetiana C

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Jan 20, 2020

The videos in the course have to be updated

By Leonardo A R P

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Sep 26, 2019

It's way too simple, but it's good though.

By Jiayi S

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Apr 5, 2019

The tutorial for Week3 should be updated!!

By Ghani

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Aug 22, 2023

Course is very lengthy and time consuming

By Syed Q R Z

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Apr 7, 2020

Outdated videos had to take external help

By Marcela A C B

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Jul 30, 2021

It is okay, but sometimes it gets boring

By Kelly W

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Jan 15, 2021

The instructions did not seem very good.

By Brenda G M e

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Mar 5, 2020

It is a lot of trouble to use IBM studio

By Kriel T K

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Mar 26, 2020

The tutorial videos need to be updated.

By Mariana S S

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Jun 12, 2021

Too much obsession with IBM Data tools