Catalogue 2018 - 2019

BIS 315 Data Science with Python

Credits

3 cr.

Prerequisite

BIS 221 or equivalent

Course Description

This course starts with learning fundamentals of programming in Python. Students learn how to develop data processing applications, using standard data and control structures, input/output procedures, as well as built and user-defined functions. Next, the students learn how to solve business analytics problems with open-source Python packages. Learning cases are selected from Statistics and Management Science, including Big Data scenarios. They incorporate techniques applied to data visualization, inferences about statistical measures, predictive analytics, machine learning and optimization. The students develop projects in team settings.

Notes

Formerly "Data Science with Python and R"

Distribution

BUSR

Fee