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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,300 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

DE

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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1001 - 1025 of 4,791 Reviews for Tools for Data Science

By Julia V

Apr 26, 2020

Would be great to keep video updated in accordance with updated tools

By Christian H

Jan 12, 2020

thanks a lot for providing the necessary overview over so many tools!

By Nicholas F

Oct 7, 2019

Orientation for the student to some tools used within the profession.

By Varun S

Feb 9, 2019

Great course to experience different data science softwares virtually

By Saptashwa B (

Dec 30, 2018

Very good course ! But I would love to have a bit harder assignments!

By Rubén J R G

Nov 25, 2018

This. Course gives you all tools you will need to be a data scientist

By Mughni A

May 19, 2024

Good for someone who try to learn programming, not only data science

By Osama A

Nov 24, 2022

It had its difficulties, but you will never forget what you learned.

By Noel M

Jun 25, 2022

Great insights and practical introduction to the data science tools.

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 A

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.