BAN 265 - Python for Data Analysis*
Semester Hours: 3 s.h.
Spring
This course will introduce the student to the python programming language for analyzing data. The major topics include data manipulation, cleaning techniques using the popular python pandas data science library and the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it and run basic inferential statistical analyses.
Prerequisite(s)/Course Notes:
BAN 203 .
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