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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

4.5
stars
25,766 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

ED

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.

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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2901 - 2925 of 4,178 Reviews for Tools for Data Science

By Lorena G

Jan 28, 2020

Some of the videos where outdated

By Trần C L

Nov 24, 2019

It just does what it supposed to.

By Vijay N J

Oct 30, 2018

Very good course to star with ...

By Sonja T

Apr 5, 2021

Prepare to drink from a firehose

By Khanjan V

Jun 28, 2019

the material needs to be updated

By Saiful I

May 24, 2019

Too much emphasis on IBM's tool,

By chenpeng

Jul 10, 2019

Maybe could incorporate Pycharm

By Adhruth S

May 13, 2019

The course needs to be updated.

By Heraclio R

Oct 13, 2018

great to see how the IDE's work

By Alagbe A K

Jun 4, 2020

This course is well delivered.

By Shane W

Dec 5, 2019

Good tools, good explanations.

By 최석용

Jun 24, 2019

Relatively easy to understand.

By Pragya A

Mar 9, 2019

REQUIREMENT OF MORE EXPINATION

By Rafael M S

Oct 7, 2022

Very good and useful course!

By shashi t

Mar 9, 2022

Very Good learning experience

By Ravi C

Jan 16, 2020

Unable to see all interpreter

By Julie S

Jan 1, 2020

Week 3 was not easy to follow

By ibrahim d

Oct 6, 2019

The videos need to be updated

By Yanky M

Oct 1, 2019

The tutorials needs updating.

By Sahil s

Jul 31, 2019

Course needs little updation.

By Nirbhay B

Apr 14, 2019

Could have given more tasks !

By Kapil W

Jul 19, 2020

Need more interactive videos

By Wenyang Z

Jun 13, 2020

The lab design needs updates

By Mayur P

Oct 2, 2019

It is a very helpful course.

By Stewart M

Aug 31, 2019

Instructions not up to date.