Math courses

Deep learning is a branch of artificial intelligence that builds systems capable of finding patterns in complex data. Covers how these systems are designed, trained, and applied to tasks like image recognition, language processing, and prediction, opening paths to work in tech companies, research labs, and AI-focused startups.

Statistics is the science of collecting, analyzing, and interpreting data to make better decisions. Covers how to spot patterns, measure uncertainty, and turn numbers into useful insights for business, research, healthcare, and public policy.

Machine learning is the practice of building systems that improve from data and make predictions or decisions without being explicitly programmed. Covers how models are trained, evaluated, and applied to solve real-world problems, helping you qualify for roles in data science, AI, and analytics across tech companies, startups, and research teams.

Excel is a spreadsheet tool used to organize data, analyze numbers, and automate repetitive work. Covers formulas, charts, data analysis, and reporting to help you make faster decisions and work more efficiently in business, finance, operations, and administrative roles.

Data science turns raw data into clear insights that guide smarter decisions. Covers patterns, analysis, and prediction to help solve real business problems and support work in tech companies, finance, healthcare, consulting, and research.

Group theory is the study of symmetry and the rules that govern how objects combine and transform. It covers the core ideas used to analyze patterns in mathematics, physics, and computer science, building strong problem-solving skills for research, advanced study, and technical roles.

Neo-Riemannian theory on guitar applies music theory to connect chords through smooth, efficient voice leading and unexpected harmonic shifts. Covers chord transformations, progressions, and musical analysis for creating richer harmony and more expressive guitar parts. Useful for songwriters, arrangers, performers, and composers working in contemporary, film, and experimental music.

Mathematics is the study of numbers, patterns, and logical reasoning that powers problem-solving across science, technology, finance, and everyday decisions. Covers core concepts, analytical thinking, and practical applications that build confidence with quantitative challenges. Opens paths to careers in education, data analysis, engineering, finance, research, and related fields.