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Learner Reviews & Feedback for Tools for Data Science by IBM

21,580 ratings
3,335 reviews

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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2126 - 2150 of 3,311 Reviews for Tools for Data Science

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 Ramasamy T

Dec 16, 2020

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


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 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


Oct 3, 2020

Week 2's quality should be improved, make it more friendly for beginner

By Juan P E C

Jun 17, 2020

Good course, explanation about Git Hub could have been more detailed...

By Shuyuan C

Jun 17, 2019

Very interesting course and you can learn a lot about Jupyter Notebook.

By Ahmad S

Mar 6, 2020

Please update the video content to suit the updated IBM Watson Studio.

By alexander t

Jun 30, 2019

Gives the idea of where to go and how to start using some tools for DS

By Vasu S

Jun 4, 2021

It's a good course but we need more detailed videos on Watson Studio.

By Christopher D

May 13, 2021

It was a lot of information but a good primer for the specialization.

By Karim A

Jan 6, 2020

Please update the vides to reflect the same environment as IBM Watson

By Filipe S M G

Aug 18, 2019

Interesting to know the available tools (although, a bit repetitive).

By Samantha R

Jul 8, 2019

Nice starting point to learn how to use a notebook in a simple manner

By Joe A

Jun 30, 2019

Good introduction to various tools available to data science novices.

By David P

Jun 13, 2019

An exciting start to the actual work of data science using IBM tools.

By Humayun A

Apr 20, 2019

need to explain what we will learn from this week materials and quiz.

By Navaneetha K R

Apr 4, 2019

Course gives a overall view of how to use various data science tools.

By asher b

Sep 14, 2018

Succinct high-level overview. Still need more courses to get skilled.

By kwaku b

Jul 18, 2020

It needs more real-world or direct workplace data sources to work on