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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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

ED

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.

MO

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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3301 - 3325 of 4,596 Reviews for Tools for Data Science

By Amy C

Oct 31, 2021

Very broad overview

By JACK A O

Aug 1, 2020

Not enough practice

By Alessandro

Jul 22, 2020

good intro. thanks!

By Brian T

Feb 25, 2020

Great Course Thanks

By ALex F M P

Jan 9, 2020

I find interesting!

By Ranjeeth N

Jul 10, 2019

Need more exercises

By Roshan K

Feb 22, 2019

It's good to start.

By Ajit M

Aug 2, 2022

Good for beginners

By Jixian L

Mar 25, 2021

more practice sets

By MOHD Z

Apr 26, 2020

amazing experience

By Hassan E

Aug 15, 2019

not too technical.

By Francis T

Jun 23, 2023

GOOD AMD ENGAGING

By Neil I I P

Feb 17, 2023

Excellent Course!

By Takahide M

May 30, 2021

It was very hard.

By Kunal R

Jun 21, 2020

Great Experience!

By Julio V

Feb 5, 2020

Very informative!

By Gwendeline O H

Jul 24, 2019

Good introduction

By Alex Y

Jul 16, 2019

need some updates

By Bruno R d M

May 16, 2019

Very Nice Content

By Pranav V

Aug 17, 2022

Nice explanation

By Panchal R J

Aug 19, 2020

Excellent Course

By apoorva g

May 10, 2020

Nice Course..!!

By Mirjan A S

Apr 8, 2020

Great! Course...

By Shiau-Wen L

Jan 4, 2020

A good starting.

By Chao W

Dec 19, 2019

Too few attendee