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Data analysis and knowledge discovery
Individual course
The course introduces methods and algorithms for extracting information and knowledge from datasets. This includes techniques for visualisation, classification, regression, outlier detection, rule induction, model complexity selection, and model validation.
This course enables students to learn when and how to apply state of the art data analysis and knowledge discovery tools for data. Students will learn modern data analysis methods and algorithms to discover patterns and trends in large, complex and high-dimensional data sets, and turn data into information and knowledge.
More info on University of Turku’s study guide.
You can get a digital badge after completing this course.
Responsible teacher
University of Turku
Antti Airola
antti.airola(at)utu.fi
Contact person for applications
FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies,
Technical studies
Technical studies
Topics:
Data analytics,
Industrial engineering and management
Industrial engineering and management
Course code:
TKO_3103
Credits:
5 ECTS
Teaching period:
29.10.–18.12.2019
Application deadline:
21.10.2019
Host university:
University of Turku
Study is open for:
Adult learner,
Degree student
Degree student
Level of studies:
Advanced
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
