Data Analytics for Managers. (3-0) 3 Credit Hours

Catalog description

This course provides fundamental statistical data analytics skills for managers who are likely to encounter business challenges that require the application of statistical techniques. Topics covered include a review of statistical principles, the logic of hypothesis testing, and the role of assumptions in statistical analysis. Several statistical techniques will be covered including chi-square tests, analysis of variance (ANOVA) including multiple group comparison tests, correlation, multiple regression including dummy variable regression, time series concepts such as stationarity, and techniques including but not limited to ARIMA models and forecasting. Statistical computer software will be utilized to provide hands-on experience in analyzing data related to real-world business challenges. Emphasis will be placed upon determining the appropriate statistical technique for the problem at hand as well as the correct interpretation of results produced by the statistical tests covered. This course has Differential Tuition.