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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

4.5
stars
25,766 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.

GC

Apr 12, 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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2726 - 2750 of 4,178 Reviews for Tools for Data Science

By Irene H

Jan 17, 2023

The instructions for the skills labs didn't always work for me.

By Known S

Nov 6, 2019

The course wholely covered IBM watson and other IBM cloud tools

By Sean M

Aug 13, 2019

I would like to see this course give more hands on assignments.

By Teofilo E d A e S

Apr 1, 2019

I finished the course with the understand of doing basic stuff.

By Ahmed B

Mar 5, 2019

We need more tutorials on all tools demonstrated in this course

By ELAMPARITHI R

Jan 10, 2019

The lab exercises should be more interactive and better planned

By Germán G R

Oct 16, 2021

i had problems using spss and ibm watson is hard to understand

By JOSE R P

Sep 4, 2020

Necessario atualizar o curso para nova versao do Watson Studio

By Akash M

May 24, 2020

Basic knowledge of tools were to given for different analysis.

By Brett R

May 26, 2019

Was glad to exposure to some of the different tools out there!

By Deleted A

May 15, 2019

Good intro though a bit rushed. More hands on would be better.

By Edgar L

Feb 11, 2019

Videos don´t match with the last version of IBM Watson Studio.

By Nnanke W

Jul 25, 2022

great course but heavy on IBM software that is not necessary.

By Ekkarit G

Apr 1, 2022

The screen practiced looks different from the study material.

By Said E

Jun 10, 2021

Good introduction, but some of the information is very basic.

By Apurv T

Jun 20, 2020

Overall is good but Data cleansing section is bit Fast though

By Ruizhu J

Nov 14, 2019

very useful online and free open tools to help data analysis.

By MARIA F B

Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

By Natchapol T

Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

By Juan P

May 18, 2019

This course explores the IBM data science lab in a brief way.

By Mohsin S

May 11, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

By Jana A

Mar 22, 2022

Very good course. I gain a basic understanding of the tools.

By Michael C

Oct 9, 2020

Generally good. Some spots that could use more explanation.

By alan f

Mar 25, 2019

It was an interesting introduction to some new tools for me.

By Kenson K M M

May 24, 2022

The best course i have found on the tools for Data Science.