Free course offered in multivariate data analysis using SIMCA
Aim of the course: To provide basic theoretic and practical understanding of projection based multivariate data analyses techniques and a concept for the interpretation of complex (biological) data sets.
Dates: 3-7 February 2020 (5 days)
Times and structure:
- 8:30 – 12:00 – Theoretical lectures – unlimited participants
- 13:00 – 16:00 – Practical sessions using your own data – limited to 20 participants
Who can attend: Anyone interested in multivariate data analysis. The theoretical lectures will be open to anyone, but the practical sessions will be limited to 20 participants who will have access to the SIMCA software and license for a following 2.5 years. Access to the SIMCA software and training will be on a competitive and needs basis for which you will have to apply (see below).
Venue: SAMRC – A Building, 2nd Floor, Vice Chancellors Boardroom
Course description: The theory behind and practical implementation of projection based multivariate analyses on biological data sets
The course will introduce multivariate data analysis methodology in biological studies. Various types of multivariate projection methods, such as principal component analysis, partial least squares projections to latent structures (PLS) and orthogonal projections to latent structures (OPLS) are presented.
The course includes lectures and practical implementation of data visualization techniques in the SIMCA software, which will be led by Dr Elin Chorell of Umeå University, Sweden. Dr Chorell is an expert in the field of multivariate data analysis, both in regard to biological applications, as well as method development.
The course will address how large, complex quantities of data (tables) that are constructed of a large number of correlated variables can be analysed so that (i) an overview of multivariate data can be achieved, (ii) similarities and differences between tests can be detected and interpreted, (iii) the relationship between blocks (tables) of data can be modelled and interpreted.
The theoretical lectures are open to all – please RSVP by the 22 January (Julia.email@example.com)
If you would like to attend the practical sessions and gain access to the license, please send a 1-page CV and ½ page motivation to: Julia.firstname.lastname@example.org before 12pm 22 January 2020. Twenty participants will be selected on a competitive and needs basis. You will be informed by the 27th January 2020 if your application was successful.
Supported by: NRF Knowledge, Interchange and Collaboration (KIC) grant, UCT Visiting Scholars Fund, the SAMRC and Sartorius Stedim Data Analytics AB