Whether it's about economic forecasts, genetic analyses, or automatic facial recognition - they are the result of statistical methods. This book introduces these methods of statistical data analysis using the programming language R. The goal is to familiarize readers with how leading organizations and practitioners apply statistics today. As statistical methods have evolved with computerization and digitization, the author presents not only classical analytical methods like regression but also modern techniques such as text mining. The content of the book is consistently structured to be understandable even for readers without extensive mathematical background. Readers are guided through all phases of data analysis. Through case studies and exercises, they learn how to read and prepare data.