Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,196 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

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.

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.

Filter by:

4076 - 4100 of 4,769 Reviews for Tools for Data Science

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 Chetan W

•

Oct 7, 2024

Too much tools , hard to remember

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

By Adrian A

•

Jan 23, 2022

good start to lay the foundation

By Anup U

•

Jul 18, 2020

tools should be more descriptive

By Aleksandra K

•

Apr 11, 2020

The videos have to be updated...

By Ludovico P

•

Mar 20, 2020

most labs are on different tools

By Candi R

•

Jan 29, 2020

The contents need to be updated

By Yago R S M

•

Nov 5, 2019

last week tutorial was outdated

By Xiaotian L

•

Jul 27, 2019

Update user interface in videos

By Bordeianu M

•

Oct 21, 2022

Watson does not work properly

By Azeezat S

•

Jun 28, 2021

Couldn't use the Watson studio

By Dan J

•

May 12, 2021

It's burdened by nomenclature.

By Carmel R

•

Jul 25, 2019

There was breadth but no depth

By iñakibravo

•

May 30, 2022

Too much stress on IBM tools

By Aamer H

•

Feb 15, 2020

The contents were not updated