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Open Source tools for Data Science, IBM

(5,386 件の評価)


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....


by RR

Apr 25, 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!!!!

by SH

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.



by Abhishek Sahu

May 21, 2019


by Rafael Davila

May 21, 2019

it has to be updated

by Vanessa Zavatti

May 21, 2019

Good course, but the videos should be updated, for example, it shows IBM Data Science Experience when the name changed to IBM Watson Studio. Some links changed position in the screen and I lost time trying to find them.

by Jason Kannemeyer

May 21, 2019

Very good explanation of all tools that is available to users to enable them to work effectively. The labs also proved helpful with practicing and getting familiar in terms of navigation and getting use to the different environments.

by 陳麒元

May 21, 2019

Course material didn't update for IBM Watson Studio, makes learner spent super huge time to check the difference between material tutorial and real website.

by Mathilda May Brain

May 20, 2019

This course provides a good introduction to tools that can be used for data science (e.g. Jupyter notebooks, IBM Watson Studio). Packed with information and good introductory lab exercises to help students familiarise with the tools. On the other hand, I hope the parts mentioning IBM Data Science Experience are updated to mention IBM Watson Studio, because it did get a bit confusing in certain parts of the course. Aside from that, great course!

by Nurullah Kuş

May 20, 2019

The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.

by Rahul Reddy

May 20, 2019

Perfect course for the begenners .It introduces to different work spaces.Watson studio is awesome

by ozan araz

May 20, 2019

It gave a good basis on what kind of tools are being used for data science.

by Haocheng wang

May 20, 2019

IBM quality