Project in Data Science

Classes are taught on a theoretical-practical basis, using computers and digital tools. A dynamic teaching and learning process will be used,
fundamentally interactive, supported by digital tools and based on the Project-Based Learning (PBD) model. After the constitution of each
working group and the choosing of the project theme, the classes will be used to introduce the necessary concepts, methodologies and
platforms, as well as to monitor the development of each project.

The pedagogical approach followed is based on the Project-Based Learning (PBD) model. The students must develop a medium project in
Data Science, identifying the needs and managing data to obtain the desired knowledge to solve the business problem. The project must be
an integrator, consolidating and aggregating relevant knowledge learned along the academic path and the concepts, methodologies and
techniques addressed in classes. The teamwork, contemplating the planning of the project, promotes skills development in project
management and transversal.
After the conclusion of the course, the student must be able to model and develop a project in Data Science; organize teamwork by taking
advantage of its human resources; produce suitable documents and decide on the correct dissemination of the final results.

1. Introduction to the concept of data science project.
2. Selection of a business problem as a project theme.
3. Project development.
4. Communication and dissemination of the results.

NAO