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Open Source tools for Data Science

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.
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Introducing Skills Network Labs
Jupyter Notebooks
Apache Zeppelin Notebooks
RStudio IDE
IBM Watson Studio
Project: Create and share a Jupyter Notebook

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.

Open Source tools for Data Science
Free
per course
Incentives
100% online
Flexible deadlines
Beginner Level
Approx. 8 hours to complete
English
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