This course offers an exploration of optimization within the realm of business analytics. It covers theoretical fundamentals including linear programming, basic Julia programming, and proficiency in linear and nonlinear solvers. The material is designed to be accessible, requiring no formal background in linear algebra or calculus.

Emphasizing optimization modeling, the course spans six weeks and encompasses half of the content from the MIT OpenCourseWare version, 15.053 Spring 2013, which focused on optimization modeling, algorithms, and theory.

As part of the Open Learning Library (OLL), the course is freely accessible. Learners have the option to enroll for progress tracking or access all materials without enrollment. The resources provided through OLL allow for self-paced learning and feature interactive content and exercises for immediate feedback, catering to diverse learning styles and preferences. Through this comprehensive approach, participants gain a deep understanding of optimization principles and their application in business analytics, equipping them with valuable skills for real-world problem-solving in various industries