In today's digital and global business world, a deep understanding of data analysis methods is fundamental and essential. Analytical skills are critical for providing valid, accurate, and timely information for decision-making in a dynamic environment. To equip students with advanced data analysis skills, the course begins with a review of theory and practice in statistics, linear regression, logistic regression, and data visualization. Students then have the option to explore areas such as data structures, database sources, and big data analysis. Simultaneously, the course emphasizes designing research based on available data and completing group or individual assignments using various software tools, including Excel, STATA, R, and Python. Additionally, students are introduced to topics like business databases, digital business models, the value of data, and more.