Prospeção e Análise de Dados

Knowledge:

• Understand the paradigms and challenges of Data Analytics and Text Mining
• Learn the fundamental methods and their applications in the extraction of patterns from data. Understand data features, the selection of models and interpretation of model’s results.
• Understand the advantages and disadvantages of the different methods.

Skills

• Implement and adapt Data Analytics and Text Mining algorithms;
• Model real data experimentally.
• Assessment and interpretation of experimental results.

Competences

• Ability to choose and evaluate the suitability of methods to case studies
• Abstraction and generalisation skills
• Critical analysis skills
• Search of scientific literature
• Autonomy and self-reliance in the application and furthering studies in Data Analytics and Text Mining.