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| DS 4230 - Adv Business Analytics 2 |
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Prerequisite: DS 3620 or consent of instructor. Students will be introduced to data analytics using Python. The course will cover the basics of Python programming using Jupyter Notebook as the preferred environment. We will also discuss data manipulation and cleaning techniques using pandas library and data structures using Series and DataFrame. By the end of the course, students will be able to use Python for acquiring, cleaning, analyzing, exploring, and visualizing data for the purpose of making data-driven decisions, while effectively communicating the results.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Decision Science/Management Department Course Attributes: Business |
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