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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,539 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 plent...
...

Top reviews

MO

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.

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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4201 - 4225 of 4,840 Reviews for Tools for Data Science

By Niti R

May 13, 2020

Please update video

By Siobhan S

Sep 22, 2019

Needs to be updated

By Arun K A

May 16, 2019

Videos are outdated

By Chirag G

Feb 1, 2019

Course is outdated.

By Suraksha S

Apr 2, 2020

Its a bit outdated

By Anton S

Jun 8, 2021

yaa mayan lah yaa

By Tandeka B

Apr 20, 2020

old information.

By Ritik k

Nov 27, 2019

outdated content

By Jonethan R

Mar 20, 2022

Outdated guides

By lavesh b

May 5, 2020

It is too basic

By Sandipan D

Nov 27, 2018

Videos outdated

By Yadder A

Feb 23, 2019

It's too easy.

By JM E

Apr 22, 2021

Needs update

By Abdullah A

Dec 26, 2018

not clear it

By RITIK K

May 26, 2019

good course

By Aditya G

Jun 26, 2024

not great

By Igor L

Oct 2, 2019

Too easy

By Farzan B

Oct 20, 2018

Too easy

By Nahim A R

Jan 21, 2023

Not Bad

By 손승건

Jan 16, 2020

not bad

By Sanket B

Jun 10, 2019

its ok

By Aurobinda B

May 19, 2024

good

By Osama H

Jul 4, 2020

nice

By Chakradhar K

Apr 7, 2020

cool

By Omer Z C

Sep 30, 2021