Undergraduate course, Paul College of Business and Economics, 2019
This course introduces students to data analysis with applications in business decision-making. Fundamentals of exploratory data analysis, probability models, and statistical inference are covered. Students are expected to develop literacy in data analysis, understand key concepts such as the distinction between correlation and causality, and build linear regression models.
Undergraduate course, Paul College of Business and Economics, 2019
The primary purpose of this course is to deliver an experiential learning opportunity in business analytics to students at Paul College, building skills required of analytics professionals. The course delivery is a mix of lectures and project-based learning. In one course period per week, lectures on modern statistical tools and practice are given. In the second course period per week, students apply those tools to address challenges in real data provided by industrial partners. In addition, industrial partners deliver guest lectures both in-person and remotely. In Fall 2019, students are working to automate the forecasting systems of Peak Organic Brewing, a major New England brewery.
Undergraduate course, Paul College of Business and Economics, 2019
This course explores elements of statistical forecasting with applications in business decision-making. The course is project-based and relies on hands-on activities in statistical software and applied data analyses. Students analyze time series data from by a wide range of applications, including finance, marketing, hospitality management, and human resources.