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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1126 - 1150 of 4,771 Reviews for Tools for Data Science

By SAURABH P

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Jun 29, 2019

Here is the best practical knowledge about data science tool.

By Deleted A

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Jun 19, 2019

Great tool to learn new technologies to get into data science

By Carlos J S

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Oct 1, 2018

Very nice presentation of the tools. Plenty of use and value.

By Shuying X

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Sep 17, 2018

A good introduction about open source tools for Data Science.

By Julion M

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Sep 16, 2024

I gain more knowledge about in this area. Thank you Coursera

By Anda T

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Apr 13, 2022

I loved the practice part of the course, it was very useful.

By SAGAR B

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Oct 17, 2021

Very good course. Thanks coursera for providing best course

By Surbhi J

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Sep 7, 2021

Very Nice course!!! I like to use the tools of the course!!!

By Mateus P

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Jul 11, 2021

Incredible content and hands-on labs very helpful for learn.

By Monica L

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Sep 8, 2020

Really good and the labs and projects fully complemented it!

By jyoti s

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Jul 3, 2020

It has been a great learning for me to know about IBM tools.

By kanupriya k

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Jun 3, 2020

Very insightful and easy to understand. Highly recommended!!

By S H K

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Jun 2, 2020

Very nice approach short videos , hands on practice of tools

By Toni K

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Feb 4, 2020

Enjoyed this course. Great in understanding IBM cloud tools.

By Christina S

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Jan 4, 2020

An excellent course to start learning the Data Science Tools

By peter h

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Dec 10, 2019

A great introduction to the open source tools and notebooks.

By Okon E C

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Dec 8, 2019

A very well designed course - easy to follow and understand!

By Zayirov N X

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Oct 29, 2023

https://coursera.org/share/572ed008fe454f103d992ba4e9a5db56

By Ralph A

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Jun 21, 2023

Informative and relevant to modern data tools/environments.

By Ana C

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Nov 30, 2022

me encanto saber de la s diferentes herramientas y usarlas.

By Abubaker P

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Jun 16, 2022

Excellent .....little more difficult than Google PM course.

By Mohammed H M M

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Apr 29, 2021

very well structured course, very informative for beginners

By Mokaddes H

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Jul 15, 2020

I am happy with your data science course. it is very for me

By Ashish J

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Jul 15, 2020

The course give a definitional overview of different tools

By Raj P

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Jul 1, 2020

You touch the numerous features of Watson Studio and Cloud.