Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,125 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.

Filter by:

2426 - 2450 of 4,755 Reviews for Tools for Data Science

By Dina A

•

May 31, 2024

good

By Xurshid Q

•

May 30, 2024

good

By EISSA Y S

•

Feb 8, 2024

شكرأ

By Rohit J

•

Jan 14, 2024

good

By Usman K

•

Dec 7, 2023

Cool

By Ganta R

•

Oct 30, 2023

nice

By Chinmay H

•

Oct 27, 2023

nice

By Ruwaife M

•

Jun 7, 2023

good

By Sudarshan B

•

Jan 20, 2023

good

By INDUJA P

•

Dec 28, 2022

Good

By Kim M

•

Sep 28, 2022

:-)

By Arjan D S C

•

Jul 26, 2022

good

By Ashish K

•

May 16, 2022

good

By Santosh H

•

Apr 26, 2022

Good

By شروق ا

•

Apr 7, 2022

good

By WAQAR A

•

Feb 17, 2022

nice

By 이재곤

•

Dec 18, 2021

good

By daniel a c c

•

Oct 24, 2021

Ecel

By dumebi j

•

Sep 20, 2021

GOOD

By Deleted A

•

Sep 4, 2021

Best

By Kesava R

•

Aug 30, 2021

good

By ABDUL H

•

Aug 25, 2021

good

By DINH B C

•

Jun 11, 2021

Good

By MOHAMED M A

•

Nov 2, 2020

Good

By Shreya M

•

Oct 1, 2020

Good