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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,118 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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2976 - 3000 of 4,592 Reviews for Tools for Data Science

By SARVESH Y

Oct 13, 2019

there must be some hands-on experience for every tool which has been taught.

By Sweeti S

Jan 16, 2023

it was very good experience as i first time did hands on workshop like this

By Asibur R

Oct 8, 2022

Watson Studio: On Data refinery video didn't include how how to import data

By Yaniv Z

Apr 9, 2022

Some of the videos are not updated to the current versions of the softwares

By Dhilma G

Aug 1, 2020

Too much of information packed in single course. Pretty hard for beginners.

By João A O

Apr 4, 2020

The course needs an update, since the tutorial resources have changed a bit

By Steven X D T

Mar 17, 2020

Course structure is good but the Labs has lots of issues / technical errors

By Jamil H

Feb 14, 2022

The videos need to updated to match the current version of Watson Studio.

By Jiale L

Nov 3, 2021

Practice exercises were too simple for the quantity of information learned

By Saagar M

Jan 26, 2020

Good information regarding data science tools but few videos are outdated.

By Roderick W

Oct 7, 2019

The videos need to be updated to cope with the new Watson Studio interface

By Taha m

Dec 14, 2018

Should have elaborate little bit more about softwares and basic coammands.

By Carlos J C

Jul 31, 2023

Taking screenshots seems odd given how easy is to share Python Notebooks.

By Ramasamy T

Dec 16, 2020

In 2 and 3 content placed impropriate and some of them not explained well

By SAURAV S

Dec 10, 2019

Introduction to these open source tools is well presented in this course.

By Nabamita

Nov 27, 2019

the demo tool version was not the same we used for doing final assignment

By Kevin D

May 24, 2019

A bit repetitive on the IBM Watson piece but a good overview nonetheless.

By Pedro V d A

Sep 9, 2023

Deu para ter uma boa noção e experimentar alguns conceitos. Vale a pena!

By Ankit

Jul 14, 2023

I enjoyed the course because of the detailed information provided in it.

By manoj b

Mar 27, 2022

Course was fine, but videos could have been more better and interactive.

By Manjeet K

Aug 26, 2021

that is good but it wants more improvement in modules to identify easily

By Ajinkya K

Sep 19, 2020

Videos could be longer to help folk who have zero programming knowledge.

By Fidel B C B

Jun 4, 2019

Cuesta trabajo el ejercicio porque no esta cual como indica el ejercicio

By Deleted A

Apr 9, 2019

IBM Watson related content needs to be updated and be more comprehensive

By Eliza S

Jan 24, 2024

A good chapter to understand all useful DS tools. Which are new for me.