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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,204 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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3301 - 3325 of 4,771 Reviews for Tools for Data Science

By Rama P

Jan 7, 2020

Version on the video of Watson Studio differs

By Arka S

Sep 21, 2019

Good Understanding of the basics of the tools

By Harshil G

Jul 15, 2019

The watson studio is not perfectly described.

By Arup K N

Jun 21, 2019

The course was good but can be more detailed.

By nicolas c

Feb 24, 2019

Good presentation about some available tools.

By Cinder Z

Jan 10, 2019

Watson system updated. But the course is not!

By Carlos F

Oct 6, 2018

Names of sites mentioned needs to be updated.

By Teja K

Jul 7, 2023

R Language coding is not properly explained.

By Junaid I

Oct 30, 2022

Materials can be covered in one video only.

By Ankur s

Jun 1, 2021

it is a good course and great understanding

By Harold C

Aug 16, 2020

I found this course very useful and relevant

By Turkesh P

Mar 26, 2020

essential contents for beginner from scratch

By Jin, Y

Mar 9, 2020

maybe more HTML code teaching will be better

By Malika S

Jun 29, 2020

It was a bit challenging but I made it ! :)

By Eliza J S d F

Apr 24, 2020

The course is really great and interesting.

By Vusi P M

Apr 11, 2020

Please change videos to the new IBM version

By Ramsrinivas A

Nov 28, 2019

IBM Watson Studio can be more user friendly

By Clóvis F (

Sep 24, 2019

A little depreciated but still nice content

By Deleted A

Aug 22, 2022

1 big problem....... I can't un-enroll it.

By Alejandro A

Apr 21, 2022

in some videos the audio quality is poor.

By Mike S

Mar 13, 2022

A good intro to the tools for Data Science

By Brahim S

Feb 16, 2022

great course for a beginer in data science

By Fabio P

Feb 1, 2022

Excellent review of tools for Data Science

By Ayoub E H

Aug 11, 2021

Good, Helpful, Good Teachers/Insctructors

By Abdulwasiu B

Jul 3, 2020

seamless, I like the in-between questions.