Exploratory Methods of Multivariate Data Analysis

2.10.2025 - 1.3.2026

5 cr

Face-to-face

Advanced studies

Fundamentals of exploratory methods of multivariate data analysis, such as multidimensional scaling (MDS), cluster analysis (hierarchical and k-means clustering), correspondence analysis, principal components analysis (PCA), and exploratory factor analysis (EFA).

Contains

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Additional information and registration

Price and registration period

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Additional information:

Fields

Social sciences

Scope

5 cr

Code

COS-D418

Completion methods (general description)

Contact teaching. Active participation and weekly assignments.

Assessment practices and criteria

Weekly assignments completed within the given schedule

Learning activities and methods

RStudio, Moodle, weekly assignments, class discussions

Target groups

COS students, other master's students (including exchange students), doctoral students, continuous learning (3 places)

Teaching period when the course will be offered

III or IV

Study modulesCOS-R400
Expiry of studies

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Languages of instruction

English

Course EQF level

Course EQF level 7

Organiser

Helsingin yliopisto

Contact details

avoin-student@helsinki.fi

Belongs to themes:

Change management and analytics