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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.

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3901 - 3925 of 4,596 Reviews for Tools for Data Science

By Kundan K

May 24, 2019

Learned very few things in three weeks time.

By Xin Y L

Oct 10, 2021

More on Hands-on assignment please. Thanks.

By Tetiana C

Jan 20, 2020

The videos in the course have to be updated

By Leonardo A R P

Sep 26, 2019

It's way too simple, but it's good though.

By Jiayi S

Apr 5, 2019

The tutorial for Week3 should be updated!!

By Ghani

Aug 22, 2023

Course is very lengthy and time consuming

By Syed Q R Z

Apr 7, 2020

Outdated videos had to take external help

By Marcela A C B

Jul 30, 2021

It is okay, but sometimes it gets boring

By Kelly W

Jan 15, 2021

The instructions did not seem very good.

By Brenda G M e

Mar 5, 2020

It is a lot of trouble to use IBM studio

By Kriel T K

Mar 26, 2020

The tutorial videos need to be updated.

By Mariana S S

Jun 12, 2021

Too much obsession with IBM Data tools

By Sanket p

Dec 10, 2019

Just some basic knowledge is provided.

By Shubham K

Jun 6, 2020

Should contain more reading material.

By Ozlem E

Oct 20, 2020

The sound quality is not consistent.

By Touffail A

Sep 29, 2019

Manque des tests en images pas à pas

By Pejwak K

Dec 8, 2022

This course can be greatly improved

By dave d

Mar 25, 2022

Too Much Information For a beginner

By Hao W

Dec 11, 2019

The course materials are out-dated.

By Zhu T

Nov 19, 2018

poor experience in using IBM Watson

By Ahmed B

Dec 6, 2019

superficial and need more in depth

By Sébastien F

May 10, 2022

Too much commercial tools talking

By Nicholas G

Sep 20, 2019

Course content is not up to date.

By Paren A

Feb 22, 2019

Very rushed and brief explanation

By Nigel S

Apr 11, 2022

it was challenging and educating