Ma­chine Learn­ing for Pre­dict­ive Ana­lyt­ics in Busi­ness

About

Machine learning plays an important role in business operations such as fraud detection, sales forecasting, pricing and consumer segmentation. This course introduces business students to its principles and applications, with a focus on predictive analytics. It combines theory and practice, covering essential mathematical and statistical concepts while teaching Python programming from scratch. Each session blends lectures with workshops, and students are expected to bring their laptops for the practical exercises.

Learning objectives
By the end of this course students will be able to:

Understand the fundamental issues and challenges of machine learning.

Appropriately choose and appraise machine learning algorithms for predictive analytics in business.

Effectively process, summarize, and visualize business data using appropriate analytical tools and methods.

Develop and apply machine learning algorithms to address business challenges and support decision-making.

Critically assess the ethical and societal implications of applying machine learning in business and societal contexts

Course leader

Raghava Rao Mukkamala - Department of Digitalisation (DIGI)

Target group

This is a graduate level course. CBS Summer University courses at Copenhagen Business School is open to all and welcomes domestic and international students as well as professionals

Fee info