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May 25, 2026
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MATH 315 - Data Analysis Credit Hours 3
In this course, students will learn mathematical, statistical, and computational tools for data analytics. Topics will include an introduction to the Python programing language focused on the Pandas data analytics library, computing summary statistics, introduction to graphing and data visualization with MatPlotLib and other relevant Python libraries, importing and analyzing time series data, linear models, cleaning data, and logistic regression. Social and ethical concerns regarding data analytics and big data will also be addressed.
Prerequisite(s): CPSC 155 and MATH 311
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