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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3276 - 3300 of 4,754 Reviews for Tools for Data Science

By Raúl A

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Jan 16, 2020

Needs to be updated. Everything else very good.

By Manpreet S

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Apr 15, 2019

Give a good understanding of tools and platform

By Benson B

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Mar 27, 2019

Could have thrown in few more practice quiz !!!

By Luis A C S

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Jun 6, 2023

me gusto peronestaba complementamente en igles

By Rohit S

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Jun 15, 2022

this course me confident in data analyst skill

By Wicked M

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Jan 4, 2022

I didn't like some of the questions on week 4.

By Anastasiya K

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Feb 12, 2021

Informative, but feels like IBM advertisement.

By omid z

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Dec 21, 2020

it had a good and fast overview through tools.

By Elena N

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Jan 23, 2020

Section about IBM Watson Studio is out of data

By Mayank S

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Dec 23, 2019

Course was not updated with IBM Cloud platform

By Vamshi A

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Sep 16, 2019

It's good time learn with IBM

Thankyou tutors!

By Zuzanna C

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Sep 24, 2021

The part about Jupyter Notebook is fantastic!

By Wilhelm B

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Sep 10, 2021

Great course, bit too much focus on IBM tools

By Khurram I

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Mar 10, 2020

Data Science Studio section should be updated

By Rama P

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Jan 7, 2020

Version on the video of Watson Studio differs

By Arka S

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Sep 21, 2019

Good Understanding of the basics of the tools

By Harshil G

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Jul 15, 2019

The watson studio is not perfectly described.

By Arup K N

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Jun 21, 2019

The course was good but can be more detailed.

By nicolas c

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Feb 24, 2019

Good presentation about some available tools.

By Cinder Z

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Jan 10, 2019

Watson system updated. But the course is not!

By Carlos F

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Oct 6, 2018

Names of sites mentioned needs to be updated.

By Teja K

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Jul 7, 2023

R Language coding is not properly explained.

By Junaid I

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Oct 30, 2022

Materials can be covered in one video only.

By Ankur s

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Jun 1, 2021

it is a good course and great understanding

By Harold C

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Aug 16, 2020

I found this course very useful and relevant