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MESA 8411

Programming for Data Science

3 credits

This class will introduce essential programming concepts, data structures, and techniques focusing on data science applications. Students will learn what it means to write high-quality code. Additionally, topics such as testing, debugging, and exception handling will be taught. By the end of the course, students will have reviewed Python programming and be able to apply their knowledge to various data science problems. Topics include functions, recursion, loops, list comprehensions, elementary data structures, and reading and writing files. Completion of Python Programming Bootcamp strongly encouraged (contact gsehdonlineprograms@bc.edu to request access).

Topics

Topics explicitly listed in official catalogue description

Sources