Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,106 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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1026 - 1050 of 4,751 Reviews for Tools for Data Science

By dharmesh s

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Aug 4, 2020

awsome tool for data science earned skill thanks for the education

By Lalit M

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Oct 27, 2019

Nice platform to learn for beginners and experienced professionals.

By Yusuf T

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Oct 11, 2019

As a starting point to get hands-on with tool, it was a good course

By Vinod. r

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Oct 6, 2019

Nice course to learn about the tools that are sued in Data science.

By Venkat

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May 19, 2019

Gives a good overview of various open source tools for data science

By Marcin W

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Jul 22, 2024

The course gives an extensive overview of the tools. It's amazing!

By Jadala S H

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Jun 26, 2022

It is the best platform to learning and forward step to the career

By Sandro J H G

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Sep 24, 2021

Excellent lectures that introduce you to the field of Data Mining.

By Dastin P

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Aug 21, 2021

Great course for who's want to know and explore data science tools

By Harpreet S

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Jul 23, 2021

Very Good course for understanding of all tools of Data Science.

By Khusan T

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Feb 22, 2021

Thank you! Course give the demanding skills in a modern hr-market.

By Azajul I N

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Dec 24, 2020

WOW. I really enjoyed this course. Highly recommended. Keep it up.

By Douglas C

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Aug 14, 2020

Really thorough introduction to open source tools for Data science

By Thushani

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Jul 24, 2020

Excellent content with easy-to-follow instructions and lab guides.

By Towhidul I

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Jul 12, 2020

Learned lots of new things about Data Science tools. Thanks a lot!

By Salman H

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Jun 16, 2020

An excellent course for new learners in the field of Data Science.

By Leandro M T

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May 11, 2020

Buy the promised, very good course.

We learned about various tools

By Yutaka R

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Apr 30, 2020

The material very detail and newbie can learn it without pressure.

By ALABE L W

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Mar 30, 2020

Thank you IBM the course is well structure and self understanding.

By Temitope K

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Mar 5, 2020

It was tough at the beginning....but at the end it became clearer!

By shubhal p

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Feb 18, 2020

Good teaching of

Open Source tools for Data Science

Keep it up...

By Fahad A

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Oct 22, 2019

As a beginning in using some tools of Data Science, it is perfect.

By Vijay N

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Jul 18, 2019

Very interactive course to learn the tools and get familiar with .

By Pappu R M

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Jul 5, 2019

Great course give overview of Open sources tools like Data Science

By Joao C M

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May 8, 2019

Broader view of the tools to support the data scientist activities