Chevron Left
Back to Tools for Data Science

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.

Filter by:

976 - 1000 of 4,596 Reviews for Tools for Data Science

By Prince L

Aug 18, 2021

best way to enhance your knowledge and skills in data science tools.

By Widhi A P

Oct 2, 2020

This course so amazing, everything tools ini this course so powerful

By Javier L

Sep 10, 2020

Everything is explained very well, just pay attention and take notes

By Hieu D T

Aug 19, 2020

A very well-organized course. Full of free resources to get hands-on

By lady q

Jul 10, 2020

Agradezco mucho a Coursera por el apoyo en esta hermosa experiencia.

By Parv R

May 7, 2020

it was a great course in which the best part was of jupyter notebook

By Veera P

Apr 30, 2020

Thanks for the coursera for providing a wonderful learning platform.

By Baptiste M

Oct 23, 2019

Quite a gap between this one and the first one, taking some momentum

By Pankaj D

Oct 8, 2019

Very simple and helpful course to start with tools for Data Science.

By CARLOS S

Sep 7, 2019

In this course, I was able to learning how to use amazing IBM tools!

By Warpswirl

Sep 1, 2019

A little outdated video-wise, but otherwise helpful and interesting.

By Momynkulov Z

Aug 29, 2019

Its good course to know basic knowledge about tools for data science

By Jake V

Jul 8, 2019

A great little intro to get the people coding with open source tools

By MD A

May 8, 2019

I got to know about some new tools like zeppelin notebook IBM Watson

By Dinesh Z

Jan 7, 2019

It is one of the best course to learn various data science workbench

By Gabor K

Aug 8, 2018

The training successfully achieves introducing the tools used in DS.

By Terri C

Dec 21, 2021

Good class. I had no idea what data scientists do. Pretty intense!!

By ROGER S B

Jun 14, 2021

very interesting general view of the Data Science current scenario.

By sai s A

Jun 13, 2021

Its a wonderful joyful way to learn, thanku so much for the course.

By Diego A v B F

Mar 16, 2021

Amazing courses, very complete in all subjects and accurate videos.

By Rabotlhoko T

Oct 1, 2020

The course was informative and I really the hands on Labs as well .

By Yutao S

Aug 23, 2020

Give good intro to student, i like it. i will continue to study it.

By dharmesh s

Aug 4, 2020

awsome tool for data science earned skill thanks for the education

By Lalit M

Oct 27, 2019

Nice platform to learn for beginners and experienced professionals.

By Yusuf T

Oct 11, 2019

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