IS330

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Introduction to Data Science

Demonstrate a practical understanding of the key theoretical concepts of modern computational/ analytic methods of data science.

Understand the environments of UNIX, Anaconda, Jupyter notebook, and R Studio.

Demonstrate the ability to create, edit, and run reproducible Python and R code documents using Jupyter and RMarkdown.

Show comprehension of basic data visualization graphics and methods.