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Open Source tools for Data Science, IBM

2,927 calificaciones
380 revisiones

Acerca de este Curso

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....

Principales revisiones

por 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.

por TJ

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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374 revisiones

por Gilmar Neves

Feb 19, 2019

I really enjoyed this course! I had a very poor knowlegde of Zepplelin for instance, now I even consider using that tool more often! Besides, learning how to better use Jupyter is a great experience worthy the time!

por Mahmood Hussain

Feb 19, 2019

This course is structured well, easy to understand instructions along with step by step guidance.

por Nhan Thanh Ngo

Feb 19, 2019

This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.

por Luis Miguel Lara Zenozain

Feb 18, 2019

Update the video tutorials.

por Keelan Kilpatrick

Feb 18, 2019

Great intro to the various open source tools in a well structured and easy to follow format

por Nelly Nyadzua

Feb 18, 2019

Very clear and detailed course, i love it

por Partha Sarathi Deb

Feb 18, 2019

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

por Aaron Smith

Feb 18, 2019

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

por Susan Sheng

Feb 17, 2019

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

por Finn Szczesny

Feb 17, 2019

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