Predictive Analytics

Dive into concepts and techniques of predictive analytics and model engineering.

Students will develop proficiency in Python programming language, with special emphasis on forecasting methodologies, optimization techniques, and product analysis frameworks.

The course covers real-world applications including customer churn prediction, A/B testing analysis, demand forecasting, and pricing optimization(i.e. via deep learning, objective functions, classification trees, NLP or other models).

Students will learn data preprocessing, model development, evaluation metrics, and the application of machine learning algorithms to solve high-impact business problems.