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Methods for the analysis of high dimensional data

High Dimensional Data Analysis

6 Feb 2024 - 22 Feb 2024
Methods for the analysis of high dimensional data

Practical information:

6 Feb 2024 - 22 Feb 2024
Krijgslaan 281, 9000 Gent
English
Target audience: This course targets professionals and investigators from all areas that are high-dimensional.

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  • Prerequisites: Course prerequisites are ready at hand knowledge of basic statistics: data exploration and descriptive statistics, statistical modeling, and inference: linear models, confidence intervals, t-tests, F-tests, anova, chi-squared test, such as covered in Module 4 - Drawing Conclusions from Data: an Introduction, Module 8 - Exploiting Sources of Variation in your Data: the ANOVA Approach and Module 11 - Explaining and Predicting Outcomes with Linear Regression of this years' course program.
  • Price: €595 - €1320
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Modern high throughput technologies easily generate data on thousands of variables; e.g. health care data, genomics, chemometrics, environmental monitoring, web logs, movie ratings, … Conventional statistical methods are no longer suited for effectively analysing such high-dimensional data. Multivariate statistical methods may be used, but for often the dimensionality of the data set is much larger than the number of (biological) samples. Modern advances in statistical data analyses allow for the appropriate analysis of such data. Methods for the analysis of high dimensional data rely heavily on multivariate statistical methods. Therefore a large part of the course content is devoted to multivariate methods, but with a focus on high dimensional settings and issues. Multivariate statistical analysis covers many methods. In this course a selection of techniques is covered based on our experience that they are frequently used in industry and research institutes. The course is taught using case studies with applications from different fields (analytical chemistry, ecology, biotechnology, genomics, …).

Target audience

This course targets professionals and investigators from all areas that are high-dimensional.

Fees

The participation fee is 1320 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations.

  • Industry, private sector, profession*: € 1320
  • Non profit, government, higher education staff: € 990
  • (Doctoral) students, unemployed: € 595

*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.

Registration

More information and registration on our Beta-Academy website.