Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,147 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

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

Filter by:

3651 - 3675 of 4,937 Reviews for Tools for Data Science

By Kausar A

•

Sep 28, 2022

Great

By Md M R K

•

May 30, 2020

Thanks

By Lewis W

•

Feb 23, 2025

Great

By Mohamed G

•

Sep 12, 2023

great

By Sahil R

•

Aug 25, 2023

Good!

By 2782 _ K .

•

Sep 5, 2025

nice

By OMAR A P G

•

Aug 12, 2025

Nice

By prema k

•

May 8, 2025

good

By Narges S

•

Apr 10, 2025

nice

By Aneesh P

•

Nov 24, 2024

good

By Pritam G

•

Aug 23, 2024

Good

By ADJEGUEDE A

•

May 29, 2024

cool

By Mubarak M

•

Mar 2, 2024

good

By 2303C 5

•

Dec 4, 2023

GOOD

By Appasami G

•

Oct 17, 2023

Good

By Sumanta D

•

Aug 18, 2023

Nice

By Rushabh

•

Apr 9, 2023

good

By Lizeth C

•

Apr 28, 2022

Good

By dharshini t

•

Jul 18, 2021

Good

By Gundlapally V S S R

•

Feb 26, 2021

good

By Muhammad S A

•

Sep 22, 2020

nice

By Taner Ö

•

Aug 16, 2020

good

By Chukwuemeka O

•

Aug 11, 2020

Nice

By VISHNU T B

•

Jun 25, 2020

Good

By Prashant P

•

Mar 29, 2020

good