Big Data Ana­lyt­ics for Man­agers

Course content

This course equips students with the knowledge and skills to leverage big data analytics in practice. It covers key concepts, methods, and tools from a managerial perspective, emphasizing how to define big data analytics projects, collect, process, analyze, visualize, report, and evaluate big data to create business and societal value. Students will be introduced to all stages of the big data analytics project cycle, from definition to evaluation and recommendation.

Through case-based workshops and hands-on exercises utilizing industry relevant and practical tools, students will learn to translate data into action. The managerial perspective, and the hands-on exercises, ensure that students obtain both practical and theoretical understanding in how to setup and execute a big data analytics project effectively.

Course topics are listed below:

• Foundations: concepts, models and exemplary cases
• Working with data
• Unsupervised big data methods and tools
• Supervised big data methods and tools
• Visual analytics and tools
• Model evaluation

• Applications and ethics