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.

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2401 - 2425 of 4,753 Reviews for Tools for Data Science

By Zack R

•

Feb 6, 2020

NIice

By Diego B

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Dec 11, 2019

great

By AC

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Nov 15, 2019

Great

By Mauro M M R

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Oct 28, 2019

great

By Karim M E

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Sep 14, 2019

Great

By MOM K

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Aug 6, 2019

Great

By Ramazan O

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Aug 4, 2019

great

By Senthil R B

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Jun 24, 2019

GREAT

By Antonino C M

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Apr 14, 2019

great

By saeed m

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Mar 15, 2019

Great

By Natalie H

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Aug 15, 2018

Great

By elif r s

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Oct 16, 2024

acık

By Manpreet K

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Oct 13, 2024

good

By Charumathi R

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Sep 19, 2024

good

By RITESH K

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Sep 11, 2024

nice

By Samyuktha S

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Sep 5, 2024

Good

By Devansh G

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Aug 12, 2024

nice

By Nur C

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Aug 6, 2024

good

By Mohamed A S

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Jul 27, 2024

nicz

By Rohith S

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Jul 2, 2024

Nice

By Ngọc M T

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Jun 20, 2024

good

By Saleh k A

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Jun 17, 2024

good

By Aubrey C

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May 31, 2024

none

By Dina A

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May 31, 2024

good