Інформація про курс

The Statistical Analysis and Data Modeling Methods course focuses on equipping students with the tools and techniques to analyze and model data effectively. It covers key statistical methods, such as regression analysis, hypothesis testing, and probability theory, while also exploring advanced topics like time series analysis, machine learning, and data visualization. Students will learn how to apply these methods to real-world datasets, develop predictive models, and interpret results to make data-driven decisions in various fields. This course aims to build a solid foundation in both theoretical concepts and practical skills for tackling complex data problems.