Purpose and objectives of BUS 619, analytical thinking and basic statistical concepts of data types and variables, data analysis methodology.
Statistics and anaytics for describing categorical data.
Statistics and anaytics for describing numerical data.
Describing time series data, naive time series forecasting, Forecasting project Part 1 workshop
Modeling data with distributions, data as evidence, data as calibration
Introduction to statistical process control for time series process.
Basic inferential statistical concepts of confidence interval estimation and hypothesis testing.
Relationships between numerical and categorical data.
Basic concepts of correlation, relationship between two numerical variables, simple linear regression, and regression analysis.
Checking regression assumptions, regression outliers, addressing regression model problems
Relationship between a numerical variable and multiple independent variables, constructing multivariate models, modeling problems and opportunities
A project to apply your analytic statistics skills to forecasting company revenue.
Materials and guidance on obtaining Six Sigma certifications.
Hands-on case study tutorials for Business Masters programs.
Overview of BUS 619, and some initial tasks to get set up and ready for the course.
