Data Analytics for Management
Introduces the foundations of statistics, hypothesis testing, and regression analysis for managerial decision-making. Students apply these tools to management problems through hands-on projects in R, supported by AI.
Assistant Professor, Management Science and Operations · London Business School
I teach data analytics to Masters in Management and MBA students at London Business School and queueing theory to PhD students.
Introduces the foundations of statistics, hypothesis testing, and regression analysis for managerial decision-making. Students apply these tools to management problems through hands-on projects in R, supported by AI.
Develops the ability to turn data into actionable managerial insights using statistics, hypothesis testing, and regression analysis. Case studies, group projects, role play, presentations, and coding with AI agents connect analytical methods to business decisions.
Builds a foundation in Markov chains and queueing theory, covering Lyapunov analysis, queueing games, and learning in queueing systems. Foundational lectures are complemented by research paper readings and discussions that connect core concepts to research.