Unsupervised data analysis provides us with descriptive models that are very useful in the process of discovering information, contributing to a better understanding of domain knowledge and feature engineering.

Course information

Start Date: January 6, 2024
End Date: February 3, 2024
Course schedule: Saturdays, 9.30 a.m. to 4 p.m.
Price: €930
Format: Online
Duration: 25h

Applications are open until December 23, 2023.

More information and applications.

Mastering non-predictive learning techniques is essential for the success of data science. The Specialisation course in Data Science and Unsupervised Data Analysis aims to introduce clustering, pattern discovery and anomaly detection for multivariate data. Particular relevance is given to the evaluation of the results obtained.

This course is part of the Specialisation Programme in Data Science for Engineers as optional and this edition will be given online, via Zoom.

Course goals

At the end of the programme, trainees are expected to be able to:

• Perform clustering;
• Discover the most important patterns (pattern mining and biclustering);
• Identify anomalies (Anomaly detection);
• Evaluate the information discovered.