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.

Learning Objectives

Upon completion of this course, students will be able to:

1. Conduct thorough exploratory data analysis with appropriate visual and numerical summaries;
2. Construct probability models for business processes; and
3. Estimate and interpret parameters in statistical models.

Course Syllabus

Taught in Fall 2017, Fall 2018, Fall 2019