Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

28,273 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 15, 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 18, 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:

2276 - 2300 of 4,613 Reviews for Tools for Data Science

By Vigneshwaran P

•

Feb 17, 2019

Awesome

By Amir A A

•

Feb 11, 2019

perfect

By Aris S

•

Sep 6, 2018

So Good

By David

•

Aug 9, 2023

Great!

By Sombir S

•

May 10, 2023

amzing

By احمد ا

•

Feb 21, 2023

gooood

By Lucy O

•

Oct 30, 2022

GREAT

By Appari B

•

Sep 20, 2022

super

By Samuel W M

•

May 22, 2021

thanks

By Jeff D

•

Apr 26, 2021

Thanks

By Hasan M

•

Sep 26, 2020

v.good

By SANNI O F

•

Sep 2, 2020

Great!

By Cesar J

•

Dec 22, 2019

Great!

By sci w

•

Dec 18, 2019

thanks

By Muhammad Z H

•

Nov 4, 2019

Thanks

By izzat f

•

Sep 11, 2019

thanks

By Hadia H

•

Jul 27, 2019

Great!

By Chi W K

•

Jul 2, 2019

Great!

By Al M

•

Apr 2, 2019

Yehey!

By Hector G

•

Nov 20, 2018

Great.

By AEDEN R

•

Mar 14, 2024

great

By Fateme B

•

Sep 24, 2023

great

By Luigi S

•

Jul 4, 2023

Otimo

By Mohammad A L

•

Mar 25, 2023

Nice

By Nathaniel E

•

Sep 11, 2022

Good