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

4.5
stars
25,735 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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2951 - 2975 of 4,173 Reviews for Tools for Data Science

By Ali R

Apr 10, 2020

How i cant get my badge

By Rishabh A

Jan 22, 2020

Basic, but informative.

By Deleted A

Apr 17, 2019

Needed more exercises.

By Frederico H N

Jan 29, 2019

It needs to be update!

By Er. R K A C

Dec 19, 2021

Nice and Informative.

By Michael

Jan 22, 2020

Need updates in 2020

By Oludayo

Dec 12, 2018

Much more practical.

By Miguel A O F

Oct 13, 2018

Outdated Information

By Amy C

Oct 31, 2021

Very broad overview

By JACK A O

Aug 1, 2020

Not enough practice

By Alessandro

Jul 22, 2020

good intro. thanks!

By Brian T

Feb 25, 2020

Great Course Thanks

By ALex F M P

Jan 9, 2020

I find interesting!

By ranjeeth

Jul 10, 2019

Need more exercises

By Roshan K

Feb 22, 2019

It's good to start.

By Ajit S M

Aug 2, 2022

Good for beginners

By Jixian L

Mar 25, 2021

more practice sets

By MOHD Z

Apr 26, 2020

amazing experience

By Hassan E

Aug 15, 2019

not too technical.

By Takahide M

May 30, 2021

It was very hard.

By Kunal R

Jun 21, 2020

Great Experience!

By Julio V

Feb 5, 2020

Very informative!

By Gwendeline O H

Jul 24, 2019

Good introduction

By Alex Y

Jul 16, 2019

need some updates

By Bruno R d M

May 16, 2019

Very Nice Content