This course aims to develop students' professional competence in multivariate statistical analysis through systematic learning and practical application. It covers fundamental theories and practical methods of statistical analysis, including multivariate techniques such as principal component analysis, factor analysis, and cluster analysis. Students will learn how to collect, organize, and analyze data, applying statistical techniques to solve complex real-world problems. Emphasizing a blend of theory and practice, the course includes case studies and hands-on exercises to help students understand and utilize statistical tools, fostering their ability to make data-driven decisions and solve problems effectively. Through this course, students will gain a solid foundation in statistical analysis, preparing them for addressing data challenges in various industries. |
