Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,164 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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3351 - 3375 of 4,765 Reviews for Tools for Data Science

By ANA P

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Aug 30, 2024

esta completo y la practica me gusto

By Harish R

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Apr 27, 2021

Missing image clarity on the videos.

By Hamza H

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Aug 28, 2020

Some of the videos had a bad quality

By Matthias G

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May 10, 2020

Not all applications were up to date

By Abel F

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Feb 17, 2020

Good starting point for data science

By Esau H H

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Sep 8, 2019

Rather simple but gets to the point.

By Hashem O

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Feb 1, 2019

need more detail in each open source

By Orhan S

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Feb 3, 2024

It was very very helpful. Thank you

By Majid M T

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May 28, 2020

Only some sessions need improvement

By Sowmya P

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Jan 28, 2020

the videos are of an older version

By Abhishek M

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Aug 3, 2019

Excellent introduction to DS tools

By Lichen Q

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Feb 6, 2019

I cannot open week 3's assignment.

By Marketta M

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Feb 3, 2019

Hard & confusing but I made it lol

By Steven P M

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Feb 1, 2019

A light overview of various tools.

By Charissa B

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Sep 7, 2020

Appreciate the exercises and labs

By Sajeev K

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Aug 10, 2020

Nice Introduction about the Tools

By Toghrul G

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Apr 18, 2020

Video material should be updated.

By pavithra k

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Apr 13, 2020

The videos need to be up to date.

By Lorena G

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Jan 28, 2020

Some of the videos where outdated

By Trần C L

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Nov 24, 2019

It just does what it supposed to.

By Vijay N J

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Oct 30, 2018

Very good course to star with ...

By Sonja T

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Apr 5, 2021

Prepare to drink from a firehose

By Khanjan V

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Jun 28, 2019

the material needs to be updated

By Saiful I

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May 24, 2019

Too much emphasis on IBM's tool,

By chenpeng

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Jul 10, 2019

Maybe could incorporate Pycharm