Data Science Events Calendar

Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.

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Introduction to multivariate data analysis (2024)

November 13 - November 20

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 if finished.

Organizer:

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

Lecturers:

Associate Professor Sergey Kucheryavskiy

ECTS:

5 (2,5 + 2,5)

Date:

November 13-15 (1st part), 18-20 (2nd part), 2024

Place:

Section for Chemistry and Chemical Engineering

Department of Chemistry and Bioscience

Aalborg University, campus Esbjerg
Niels Bohrs vej, 8

6700, Esbjerg

Denmark

Deadline:

10.10.2024

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Start:
November 13
End:
November 20
Event Category:
Website:
https://phdcourses.dk/Course/109664

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
5.0