E-mail: servicosacademicos.braga@ucp.pt
Tel: (+351) 253 20 61 00
Total Workload: 80 hours
Schedule: Fridays (evening) and
Saturday (morning) | 3h/class
Start: April 2025
End: July 2025
Number of places: 20
Course Unit | ECTS | Teacher responsible | external guests | Proposed content |
---|---|---|---|---|
Module 1 Business Analytics: Introduction and applications |
1 ECTS |
João Nuno Gonçalves |
Quidgest | Introduction to the curricular unit and presentation of the general operation of the training. Introduction to Business Fundamentals, success stories and applications. |
Module 2 Descriptive analysis |
2 ECTS |
João Nuno Gonçalves |
Introduction to exploratory analysis Analysis. Descriptive and inferential statistics Inferential statistics. Pre-processing and transformation. Exploratory graphics. |
|
Module 3 Predictive analysis |
10 ECTS |
João Nuno Gonçalves |
Linear and non-linear models of Classification and Regression. Optimization of predictive models. Evaluation of predictive models. Modeling, forecasting and evaluation of time series. |
|
Module 4 Analytical prescriptive |
10 ECTS |
João Nuno Gonçalves |
Quidgest | Introduction to Modeling, Simulation Optimization. Introduction to single/multi-objective optimization: methods and applications. |
Module 5 Solving case studies |
2 ECTS |
João Nuno Gonçalves |
Quidgest | Resolution of various practical cases, in which trainees will to put into practice the learned content. |
Note: Applying for the PRR reinforces the modularity of the offers, which means that a student will only be able to take individual courses and not the whole course.
He has a doctorate in Industrial and Systems Engineering, a master's degree in Systems Engineering and a degree in Mathematics from the University of Minho (UMinho). He is the coordinator of the degree in Applied Data Science at Universidade Católica Portuguesa and a researcher at the Center for Management and Economics Studies (CEGE) at Católica Porto Business School. He is an Invited Assistant Professor at UMinho in the areas of Operations Research and Supply Chain Management. He has held corporate positions as Senior Data Scientist at Bosch Car Multimedia and Technical Coordinator of the Data Science & Machine Learning Group of the Collaborative Laboratory for Digital Transformation (DTx). His research interests lie in the areas of Business Analytics, Statistical Learning and Time Series Forecasting in the context of Supply Chain Management.
Total Workload: 80 hours
Schedule: Fridays (evening) and
Saturday (morning) | 3h/class
Start: April 2025
End: July 2025
Number of places: 20
Total Workload: 80 hours
Schedule: Fridays (evening) and
Saturday (morning) | 3h/class
Start: April 2025
End: July 2025
Number of places: 20