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Open Source tools for Data Science, IBM

2,902 ratings
376 reviews

About this 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, RStudio IDE, Apache Zeppelin and Data Science Experience. 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 Cognitive Class 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 Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Feb 01, 2019

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.


Sep 19, 2018

Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.

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369 Reviews

By Nelly Nyadzua

Feb 18, 2019

Very clear and detailed course, i love it

By Partha Sarathi Deb

Feb 18, 2019

Only tools related to IBM were discussed. I was expecting some videos on installing and configuring those tools.

By Aaron Smith

Feb 18, 2019

A lot of the videos, especially week 3, are not current with Watson Studio screens.

By Susan Sheng

Feb 17, 2019

The data science experience page demonstrated in the video does not match the actual interface. It was quite confusing.

By Finn Szczesny

Feb 17, 2019

Just OK. Good course instructors and good introduction to open source tools

By Ana Carolina Toledo Martins

Feb 17, 2019

There has been some issues accessing the tools used on this course, but overall it was very good.

By Vigneshwaran P

Feb 17, 2019


By Antonio Picazo

Feb 16, 2019

Instructions sometimes do not correspond to the application screens since they have not updated alongside the application updates.

By Atilla Mete Turedi

Feb 16, 2019

Out of date very uninformative and full of IBM ads instead of teaching anything practical

By Martine Robert

Feb 16, 2019

Very poor documentation, not accurate. Issues to connect to Watson Lab.