BUSA 3500 Business Analytics II

This course explores the practical applications of statistical tools and techniques to business problems. Emphasis is placed on the appropriate use and interpretation of results. The course also challenges students to consider the implications of those results for business decision-making. Statistical techniques will include the more commonly used research methods in support of decision making in the era of "big data." Topics will include hypothesis testing, correlations, and simple and multiple regression. 

Registration Name

Business Analytics II

Lecture Hours

3

Lab Hours

0

Credits

3

Prerequisite

BUSA 2100 or MATH 1300

Offered

Athens: Spring, Demorest: Fall and Spring, Online: Spring

Student Learning Outcomes

At the successful completion of this course, students will be able to:

1. Demonstrate mastery of calculating descriptive statistics in statistical software.
2. Apply hypothesis testing, ANOVAs, chi-squares, correlations and regressions to common business analytics situations using statistical software.
3. Understand how to diagnose common problems and issues in regressions.
4. Effectively present statistical results.
5. Identify common mistakes and biases that skew statistical results.