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3300: Business Analytics & Stats

Prerequisites: MATH 1105, INFSYS 1800, and a minimum campus GPA of 2.0. This course covers all three pillars of analytics (descriptive, predictive and prescriptive) for business applications. Topics include, but are not limited to, hypothesis testing, regression analysis, time series, forecasting and optimization. Students will learn to identify and define data-driven decision problems, build predictive and prescriptive optimization models, perform analysis and interpret results. It lays the foundation for students to be successful in more advanced analytical-oriented courses.
  • Credits:
    101717

Section 001

Section 002

Section 003

Section 004

Section 005

Section 006

Section 801

Section 802

Section 803