Data and Decision Making

About

The course provides an overview of the data-driven decision-making practice. Students learn the foundations of using data for better decisions, including the basics of statistical reasoning and data-driven storytelling; origins of the data; approaches to use the data to understand causal relationships and make evidence-based judgements; opportunities and challenges of predictions and forecasting; perspectives brought by the AI and machine learning. Students will acquire skills of using the data in reasoning and communication on par with understanding the potential flaws of other’s argumentations and detecting possible data misuses and manipulations. The course will consist of lectures, quizzes, discussions and individual presentations.

Course leader

Prof. Vitaliy Roud, Ph.D. (lectures, exams)

Target group

Bachelor and Master students

Course aim

1.able to apply the acquired knowledge of data-driven decisions practices in real-life circumstances
2.communicate effectively in a way appropriate for management positions.
3.the capacity of critical and analytical thinking.
4.have the capacity for adaptation which is necessary for doing business in the global environment.

Fee info