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SEEC holds a number of workshops each year and also runs the SEEC Stats Toolbox Seminars held once every month.

Upcoming workshop - ACCESS SEEC Statistical Modelling (R) course at UCT 10-12 July 2019

ACCESS is pleased to partner with the SEEC in presenting a short course in statistical data analysis and experimental design using R. The course aims to equip participants with practical experience and skills in analysing data, using some statistical techniques frequently used in the sciences. The skills include designing experiments, choosing appropriate statistical methods for visual display and statistical modelling of data, model checking, interpretation and reporting of statistical results, and understanding limitations of statistical methods and data. The course uses the R statistical package throughout but we do not assume prior knowledge of this package.

The course is targeting ACCESS students, and is open to any other research students or scientists that require these skills for their work. There is place for a maximum of 80 participants.

The three-day course will cover the following broad topics (see next page for more details):

  • Introduction to the course and statistical modelling
  • Regression
  • Design and analysis of experiments
  • Generalized linear models

The course will assume basic knowledge of statistical analysis fundamentals such as the ideas of variability of observations and samples, probability distributions, and the basic principles of hypothesis testing. It will be preferable that you have done at least a 1st year university level statistics course (if you need to brush up then please visit a web resource such as this example: https://www.khanacademy.org/math/ap-statistics).

The course will be run in a computer lab. If you want to bring your own laptop, you need to have the latest version of the R Statistical package (downloadable at https://www.r-project.org/) and R-Studio (https://www.rstudio.com/) installed. If you have no prior experience with R, we recommend that familiarise yourself with the basics, e.g. through the free online course on Data Camp: https://www.datacamp.com/courses/free-introduction-to-r

The course fee is R3000 (a subsidized cost) and some additional subsidy may be available for currently registered ACCESS students). The course fee will cover the tuition costs, printing of course material and catering for the event. The costs of travel, transport and accommodation for those needing to travel to attend the event will not be covered however ACCESS projects may use running cost allocations to cover these costs.

To apply for a place please fill in this form.

  • Deadline for applications is Friday 31 May 2019 and applications will be dealt with on a first come first served basis. Spaces are limited. Applying for the course will be taken as commitment to pay the course fees if you are accepted. This means that you and/or your institution will be liable for full payment unless you withdraw in writing (to Sue.Kuyper.uct@gmail.com) before the payment deadline. No withdrawals will be considered after the payment deadline and no-shows will be required to pay the costs in full.
  • Deadline for payment is Friday 14 June 2019.
  • Note that should payment not be received by the payment deadline, then we reserve the right to allocate your place to someone else. You are still liable for the course fee if the place is not filled.
  • Where payment through official employment channels is slow, please apply early.

For queries please contact Dr Neville Sweijd (nsweijd@access.ac.za) or Ms Sue Kuyper (sue.kuyper.uct@gmail.com)

SEEC Stats Toolbox Seminars

The SEEC Stats Toolbox Seminars introduce a stats method relevant to the fields of ecology, environmental science and conservation and try to make these methods more accessible. These seminars are held once a month, towards the end of the month. Read more about these seminars here.

Past workshops

Past examples of longer workshops have included a workshop on multivariate statistics, machine learning in ecology, Bayesian integrated population modeling (IPM) using BUGS and JAGSspecies distribution modelling using R, and on spatial point process models.


Watch this space for announcements of other upcoming workshops.