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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
22,731 ratings
3,566 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

RR
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!!!!

AJ
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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2326 - 2350 of 3,570 Reviews for Tools for Data Science

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

By Robert W

Mar 4, 2020

Excellent course. It was perfectly paced, the videos were excellent,

By Georgios G

Oct 25, 2019

The IBM videos for using the IBM experience module should be updated

By Jeffrey K

Sep 4, 2018

Why not just write with a Jupyter notebook from your own web browser

By Hazem A M S

Sep 15, 2021

Sufficient moderate detailed information of IBM Watson Studio tools

By OLanrewaju J I

Jul 26, 2020

Insightful thou though but all the effort and extra reading pay off

By Rubén Q M

Apr 15, 2020

Skills acquired from tools like, Jupyter notebooks, R, Scale, Spark

By Prateek G

Mar 18, 2020

Good course on introduction of various tools used for data science.

By Matthew A

Feb 8, 2019

Pretty comprehensive. Good to get familiar with open-source tools.

By Imron D

Sep 1, 2020

I've learned a lot despite the poor quality of most of the videos.

By E. R " A

Sep 19, 2019

I love tools. I love Open Source tools for Data Science even more!

By Felix B

Mar 4, 2019

Very nice introduction which definitely made me want to know more.

By Peter A

Nov 29, 2018

Good course but some of the IBM Cloud material needs to be updated

By Dhruv G

Jan 13, 2019

The course was great as it describes about the open source tools.

By Won J H

Dec 9, 2020

Great review for tools of data science!! Must take this lecture!

By Federico M

Apr 28, 2020

Some things for the last assignment were not explained very well

By Anirudh N

Apr 4, 2020

Good to know about certain tools which would be useful in future

By Ann S

Feb 11, 2020

week 3 was very confusing as the video was severely out of date.