This course, with a focus on business applications, provides a comprehensive introduction to data mining and text mining. Students are expected to explore various data mining techniques and their practical applications to real-world problems, employing the R programming language. The course will cover essential data mining concepts and explore techniques for preprocessing and analyzing text data. Additionally and to ensure a thorough understanding of both fields, students will engage in sentiment analysis, topic modelling, and examine the interplay between data mining and text analytics. The course structure is designed to balance theory with practical application, using interactive sessions, case studies, and project-based learning. This approach teaches technical skills and develops critical analytical abilities, enabling students to lead and innovate in data-driven business environments.