Format:
Blended-Learning
This program provides a state-of-the-art understanding of the most recent approaches to prediction and classification with machine learning and the theory and practice behind field experiments. The program offers hands-on experience through a course case study that uses real-world data. The course comprises two curricular groups. The first curricular group focuses on predictive analytics through machine learning. The second curricular group introduces tools for designing, implementing, and evaluating field experiments. Both curricular groups end with a hands-on live group project to be developed using the methods and tools learned in the program.
The in-person sessions will take place in a cloud infrastructure specially configured by the CATÓLICA-LISBON faculty. To maximize your experience, you will need to deploy an R and python-environments locally. We will help set up the software in the first session of the course.
Apply the latest data analysis theories, including forecasting and causal inference methods to business analytics problems.
Use a statistical programming language (R/Python) to deploy machine learning and causal modeling methods in business-relevant problems.
Understand how to design and implement field experiments to measure the impact of business changes on relevant outcome metrics.
Tânia Sousa