DAN696 Research Methods in Data Analytics

[3–0, 3 cr.]

This course offers an in-depth exploration of statistical methods critical for data analytics within business contexts. Emphasizing practical application, the course covers essential statistical techniques and their role in making informed business decisions. Students will learn to apply methods such as hypothesis testing, regression analysis (both linear and logistic), ANOVA, clustering, and principal component analysis. The course also addresses the use of statistical software for data analysis, interpretation of analytical results, and common pitfalls in data analysis. Through real-world business cases, students will develop the skills to effectively model and analyze business data, enhancing their ability to contribute strategic insights based on robust statistical reasoning.