Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,740 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

Apr 18, 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.

Apr 13, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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1201 - 1225 of 4,875 Reviews for Tools for Data Science

By Magnus B

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Feb 22, 2019

Nice breakdown of some of the tools used for Data Science.

By Luis E D M

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Nov 16, 2018

keep me in context of the tools used for doing datascience

By Mark H

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Oct 21, 2018

the level is rising and questions are becoming challenging

By Dr. D P

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Aug 18, 2022

Great introductry course filled with valuable information

By Maria r

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Aug 10, 2022

The course is very good and easy to learn and understand.

By Akshay D

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Aug 3, 2022

Understand overall applicable tools in Data science world

By Brandon D

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May 5, 2021

Good hands-on and practical experience as well as theory.

By Azman A

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Apr 25, 2020

great introductory course that cover practical assignment

By Kamlendra P S

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Apr 21, 2020

I've learned many new things related to open source tools

By Eduardo A S

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Dec 15, 2019

Very good and the tools are great to work on data science

By Shaylen H

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Dec 9, 2019

Great introduction to the tools that Data Scientists use!

By Mohamad N A

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Jul 21, 2019

great introduction how to use some tools for data science

By Deleted A

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Jul 19, 2019

This course structure and content delivery are very good.

By Aditya M

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Apr 25, 2019

Step by step directions enabled me used Jupiter notebook.

By Obaid y h a

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Nov 2, 2024

I didn't get my certificate after I'm done from 7 models

By Deleted A

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May 26, 2024

Very structured introduction to Data Science tools and R

By Duy C T

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Jan 3, 2024

The course was very informative and useful. Many thanks!

By Mohamed W

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Oct 19, 2023

perfect course for introducing the tools of data science

By Nawab T A

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Sep 18, 2023

Excellent course. Lost of learning and practice lessons.

By yoon ( s

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Dec 4, 2022

It's a great lecture to learn the basics of data science

By Lu W

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Jan 26, 2022

Good Course

It's practical and well organized! well done!

By Shanshan W

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Jan 22, 2022

Good balance between video instruction and hands-on lab.

By James E

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Jan 25, 2021

IBM i'm very greatfull to have your course is very great

By Sabharam M

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Aug 17, 2020

Thank You Coursera and IBM for providing me this course.