This course introduces foundational concepts, principles, and managerial perspectives associated with Business Intelligence (BI), Analytics, and Data Science. The course covers key BI and analytics methodologies, including data mining, predictive analytics, data visualization, dashboards, and performance management. Graduate students will explore practical BI applications within organizational contexts and learn about relevant tools, technologies, and processes that transform data into strategic business decisions.

Throughout the course, emphasis is placed on real-world business cases, hands-on analytics experiences, and implications to equip graduate students with both theoretical understanding and practical skills essential for leveraging data-driven insights effectively in managerial perspective. This course is suitable for those who wish to pursue a career path in data analytics, such as Data Analyst or Data Scientist roles.