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.
Start date: 14th March 2022
End date: 13rd April 2022
Course schedule: Mondays and Wednesdays, 5.30 p.m./8 p.m.
Format: Online (via Zoom)
28th February 2022.
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.
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.