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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,514 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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4826 - 4836 of 4,836 Reviews for Tools for Data Science

By Muhammed S U

Dec 2, 2020

It sucks.

By Naga s T

Feb 14, 2023

Not good

By Bethany L

Nov 20, 2022

Terrible

By Korawan E

Jun 4, 2020

Very bad

By Viswajith E S

Nov 8, 2021

IBM AD

By David E P B

Jul 25, 2020

so bad!

By lianghui t

Jan 16, 2019

useless

By Carlos P d V

Nov 12, 2020

Pesimo

By Pony F

Sep 8, 2020

Boring

By ABINAYA.S

Jun 14, 2022

worst

By Yu T

Jun 18, 2021

dumb