Data Mining - Clustering and Association
This course presents the fundamental concepts and methods of data mining, with a focus on clustering and association rules. We present the concept and aims of cluster analysis, as well as its major components.
40 h
Text Mining
The course is self-contained, with hands-on lectures that use the KNIME open source software platform, which combines the power and expressiveness of Weka, R, Java, and Python.
35 h
Database Modeling and Design
This course will cover two topics: database modeling and database design.
23 h
Poverty comparisons and mapping in the European Union
The course will cover how to develop multidimensional poverty indicators at the regional and sub-regional levels, as well as how to map the results.
7 h
Introduction to computer science
The course covers background on important computer science concepts such as algorithms, programming, and databases.
12 h
Subjects
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