Format:
Blended-Learning
This program provides an understanding of the latest approaches to prediction and classification with machine learning, as well as the theory and practice behind experiments and pilots as measurement tools in organizations. It aims to offer insights into the most recent advancements in technologies that enable the development of artificial intelligence systems, such as Chat-GPT or GEMINI, which can be applied and implemented in business contexts, having a direct impact on productivity and competitiveness.
The program offers practical experience through a case study that uses real-world data. The program consists of two curricular groups: the first curricular group focuses on predictive analysis through machine learning; the second curricular group introduces tools to design, implement, and evaluate experiments. Both curricular groups conclude with a group project to be developed using the methods and tools learned in the program.
Learning Journey
Who is this program for:
• Executives interested in exploring data analysis and machine learning technologies applied to management.
• Professionals looking to develop a technical understanding of artificial intelligence and causal modeling tools.
• Participants seeking to prepare for emerging roles such as “Chief AI Officer (CAIO)” or “Head of AI”.
• Professionals responsible for the implementation, development, and management of Artificial Intelligence in companies and public organizations.
What makes this program transformational:
• Use the latest data analysis theories, including forecasting and causal measurement methods in business problems.
• Use a statistical programming language (R/Python) to put into practice new machine learning and causal modeling methods.
• Learn how to design and implement experiments to evaluate the effect of management decisions on important business variables.
Testimonials
Program Structure
Discover the learning modules and unlock your full potential.
Module |
Duration |
| WELCOME | START TO CONNECT | SOFTWARE SETUP | OVERVIEW | 4h |
| INTRODUCTION TO UNSUPERVISED LEARNING | 3h |
| INTRODUCTION TO SUPERVISED LEARNING | 3h |
| MODEL EVALUATION | 3h |
| MACHINE LEARNING MODELS | 6h |
| ADVANCED TOPICS | 3h |
| IN-CLASS PREDICTION CASE STUDY + LUNCH & NETWORKING | 7h |
Module:
IN-CLASS EXPERIMENT ANALYSIS + LUNCH & CELEBRATING OUR PATH
Duration:
7 horas
Module |
Duration |
| STATISTICS FOR BUSINESS ANALYTICS | 3h |
| CAUSALITY AND CORRELATION | 3h |
| RANDOMIZED EXPERIMENTS | 9h |
| CAUSALITY IN OBSERVATIONAL DATA | 3h |
| IN-CLASS EXPERIMENT ANALYSIS + LUNCH & CELEBRATING OUR PATH | 7h |
Faculty
Program Director |
Invited Assistant Professor in Data Science |
The program fee is €3,350. Alumni of the Universidade Católica Portuguesa benefit from an exclusive 10% discount.
It includes:
- admission fee: €250
- the educational material (books and other supporting documents);
- coffee breaks;
- reserved parking space;
- access to DataCamp and other technological infrastructures supporting the program;
- lunches during full-day in-person sessions;
- closing session dinner.
The program fee can be paid in full at the beginning of the program or, in the case of individuals, it can be paid montlhy (with no extra cost).
Universidade Católica Portuguesa is exempt from VAT.
CATÓLICA-LISBON signed a cooperation protocol with Caixa Geral de Depósitos which provides special enrolment conditions for Executive Education participants. If you are interested, please check the funding conditions offered by this banking institution.
The program is eligible for individual funding (up to €750) through the Government Measure: Cheque Formação + Digital, promoted by IEFP. More information: here.
