About
Econometrics for Business Analytics is a self-paced course designed to equip learners with the quantitative tools needed to analyze data, test business hypotheses, and support evidence-based decision-making. The course bridges economic theory, statistics, and real-world business applications, enabling learners to move from descriptive analytics to causal and predictive insights. Participants will learn how to build, estimate, and interpret econometric models commonly used in finance, marketing, operations, and policy analysis. Emphasis is placed on practical implementation, interpretation of results, and translating statistical outputs into actionable business insights. What You Will Learn? Foundations of econometric modelling for business data Simple and multiple regression analysis Interpretation of coefficients, goodness-of-fit, and statistical significance Diagnosing and correcting econometric problems (multicollinearity, heteroskedasticity, autocorrelation) Dummy variables and qualitative data analysis Time-series and panel data basics for business forecasting Introduction to causal inference and instrumental variables Using econometric results for managerial and strategic decisions