Course detail

Welcome to Introduction to multivariate data analysis

Description: Modern laboratory equipment produces huge amounts of experimental data — spectral vectors with hundreds of wavelengths, microarrays, gene expression data, sensors, multi-channel images and many others. Even conventional measurements may end up with tens to hundreds of variables. Such data represent a wealth of potential information but usually only a part of it relates to a problem of interest. 

This course teaches how to extract problem-dependent information from multivariate data. The practical part of the course assuming using R for calculations and visualization of results. 

The course is split in to two parts. The first part (3 days, 2 ECTS) introduces descriptive and inferential statistics, as well as data exploration with Principal Component Analysis.
The second part (3 days, 2 ECTS) is mainly devoted to supervised analysis of multivariate data, including regression and validation, preprocessing and variable selection as well as classification. 

In each part lectures are supplemented with a suite of real life examples and exercises as well as assignments, with which students will try the discussed methods by solving various data analysis problems. To complete the course, participants have to work on three mini-projects and submit their results in form of reports within 1 month after the main part is finished. 

Organizer: Associate Professor Sergey Kucheryavskiy, E-mail: svk@bio.aau.dk

Lecturers: Associate Professor Sergey Kucheryavskiy

ECTS: 5.0

Date: 11.-13. November (first part), 16.-18. November (second part) 2026

Place: Aalborg University

City: 6700, Esbjerg

Deadline for enrolment: 21. October 2026

Important information concerning PhD courses: There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

You may find more information in our FAQ: https://phd.moodle.aau.dk/local/page/faq 

For inquiries not described in the FAQ, please contact the PhD administration at phdcourses@adm.aau.dk. When contacting us please state the course title and course period. Thank you.