Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,204 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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3476 - 3500 of 4,770 Reviews for Tools for Data Science

By Pradip P

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Jul 31, 2019

A great course

By CINDY

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Oct 24, 2018

quite too easy

By MCT 0 A P

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May 25, 2021

GOOD TO STUDY

By Vinh N

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Mar 1, 2020

very helpfull

By Sharon C

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Aug 22, 2019

very detailed

By Yue L

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Jul 10, 2019

A little easy

By Samuel O

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Jul 2, 2019

Great Insight

By Gurnam S

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Feb 6, 2019

Good Learning

By Max W

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Nov 10, 2018

nice overview

By Shehadi D

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Sep 27, 2018

So many tools

By Aliyan Q

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Jan 7, 2024

Great Course

By Waleed A

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Aug 8, 2023

great course

By Anthony C

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Nov 17, 2020

Good course.

By kiran

•

Apr 9, 2020

good content

By Rahul P

•

Oct 17, 2019

It was good!

By Jonathan T V

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Nov 10, 2021

Good course

By Claude B B

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Mar 19, 2021

Full course

By GIRISH K K

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Oct 9, 2020

Good course

By Sona M J

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Sep 2, 2020

good course

By UMASANKAR N

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Jan 30, 2020

nice course

By Caio L

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Sep 21, 2019

Too simple.

By Paulo H S D S

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Jul 8, 2022

Great Job!

By TATENDA Y G

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Feb 11, 2019

Haaa heavy

By Md. T I

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Nov 6, 2023

very good

By Nguyen V T

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Jan 6, 2023

it's good