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Data analysis and knowledge discovery
Individual course
Max amount of FITech students: 10
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.
data-analytiikka, visualisointi, luokittelu, regressio, poikkeamat
Responsible teacher
University of Turku
Antti Airola
antti.airola(at)utu.fi
Contact person for applications
FITech Network University
Fanny Qvickström, Student services specialist
info(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
Price:
0 €
Level:
Teaching period:
24.10.–18.12.2022
Application deadline:
16.10.2022
Host university:
University of Turku
Study is open for:
Adult learner,
Degree student
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
General prerequisites:
Python programming skills. Basic knowledge of probability, statistics and linear algebra is beneficial.
