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

4.5
stars
25,723 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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3001 - 3025 of 4,172 Reviews for Tools for Data Science

By kiran g

Apr 9, 2020

good content

By Rahul P

Oct 17, 2019

It was good!

By Jonathan T V

Nov 10, 2021

Good course

By Claude B B

Mar 19, 2021

Full course

By GIRISH K K

Oct 9, 2020

Good course

By Sona M J

Sep 2, 2020

good course

By UMASANKAR N

Jan 30, 2020

nice course

By Caio L

Sep 21, 2019

Too simple.

By Paulo H S D S

Jul 8, 2022

Great Job!

By TATENDA Y G

Feb 11, 2019

Haaa heavy

By Nguyen V T

Jan 6, 2023

it's good

By Tuấn N

Jun 15, 2022

Very Good

By Satishkumar M

Jan 4, 2020

eXCELLENT

By Iliass B

Oct 24, 2019

well done

By Axel L

Sep 27, 2019

Outdated.

By MANIK G

Mar 23, 2019

very good

By Héctor E R

Sep 7, 2021

excelent

By akmal t

Jun 6, 2021

Love it!

By Debakanta S

Feb 4, 2020

its okay

By mohdshahrin b

Dec 19, 2019

Great!!!

By Akash M

Nov 25, 2019

loved it

By yelamanchili v r

Jun 16, 2020

average

By Farah R

May 17, 2020

Thanks!

By Kausar A

Sep 28, 2022

Great

By Md. M R K

May 30, 2020

Thanks