Data Science Programming (7.5 credits)
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The Data Science Programming course introduces students to programming in the data science domain, using the two most popular programming languages: R & Python, with more focus on Python. Students will learn how to conduct analytics using fundamental machine learning libraries such as NumPy & SciPy. However, basics of the programming using Python should be within the scope of the course, such as: variables & expressions, functions, loops & iteration, conditional cases, classes, and file input/output.