Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,204 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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1251 - 1275 of 4,771 Reviews for Tools for Data Science

By NEHA S

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Nov 2, 2020

Learned IBM tools introduction and about Jupyter Labs

By Rivers L

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May 18, 2020

Great introduction to various tools for Data Science!

By ROUNAK

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Apr 3, 2020

It was nice to know and learn these open source tools

By Tanweer A

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Mar 30, 2020

Gives overview of tools required and how to use them.

By Hiren P

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Dec 11, 2019

Awesome course for beginner and intermediate learner.

By Ajay M

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Nov 20, 2019

I can't believe i created my first Jupyter Note book

By Mingyang H

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Oct 17, 2019

Good class to know the basic tools for data scientist

By Sheryl S

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Sep 19, 2019

Excellent synopsis, very clear and easy to understand

By Aflus A

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Jun 23, 2019

Nice brief overview of ibm opensource tools available

By dinesh p

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Jun 20, 2019

We need some more practice course on Jypter notebook.

By NAVAKANTH B

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Apr 13, 2019

content was well designed and very promising to learn

By Muhammed N

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Mar 5, 2023

this course is good to understand data science tools

By Neelash M

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Mar 1, 2023

Extremely good informative content and presentations

By Christopher W E

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Oct 13, 2021

great presentation of tools needed for data science

By balkrushna n

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Jul 10, 2021

this gives really good idea about Data science tools

By Adil A

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Feb 28, 2021

Amazing explanation and awareness of different tools

By Monica V

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Oct 19, 2020

Great intro course to various data science programs.

By RAVI J

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Aug 28, 2020

it very interesting learn into tools of data science

By Aldy P

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May 12, 2020

I learnt a lot from this course, Thank You Coursera!

By Samuel K R

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May 8, 2020

Great Introduction to data Science Open Source tools

By Bhanu P R P

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Apr 7, 2020

This is the best persuasive course I have ever taken

By Richard D S

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Jan 27, 2020

Very good platform to learn Python, R, Jupyter, etc.

By Thibaut S

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Jun 9, 2019

Thanks you for your lessons based on watson studio!

By Jeanderson B C

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Nov 27, 2018

Good intro to Apache Zeppelin and Jupyter Notebooks!

By Elías A

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Jun 18, 2024

lear how to use Jupyter Notebook, Github and Python