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Announcing A Short Course

14-17 July 2015
Mathematical Sciences Building, Wits University, Johannesburg

Past participants:

"Even if I only take home a fraction of what I’ve learned I’ve definitely benefited"
"I finally understood many concepts I hadn’t before. I enjoyed the real-life examples too as they put statistics into context"

Following on from several successful previous workshops over the last six years and due to popular demand, a workshop team from the University of St Andrews (CREEM), in conjunction with the ACCESS programme and the CoE-MaSS at Wits University, and the GCSRI, also at Wits, will host a 4 day workshop to introduce participants (open to all) to basic statistical modelling techniques. The course will be heavily practical based (using real data examples), working directly with statistical software.

This 4 day course is taught using methods that can be widely applied but is illustrated using an Environmental Impact Assessment case study (using a large scale offshore windfarm). This course starts at a very basic level and covers the following:

  • Exploratory data analysis: graphical illustrations (e.g. histograms, boxplots etc)
  • Summary statistics, the basics of parameter estimation and inference (e.g. means, medians, variances)
  • Confidence Intervals, Hypothesis Testing (including t-tests and ANOVAs)
  • Models for continuous response data:
    • Multiple linear models: including model specification, fitting, selection, assessment and interpretation (with a particular focus on interpretation)
  • Models for count data and models for binary responses (e.g. presence/absence data):
    • Generalized Linear Models (GLMs): including model specification, selection, fitting, diagnostics and interpretation. Accounting for overdispersion will also be covered.
  • Models for correlated data:
    • Generalized Estimating Equations (GEEs): including model specification, selection, fitting, diagnostics and interpretation.

The R software package will be used for workshop-based practicals but all code will be provided and no prior experience with the R package is assumed.

Those with laptops are advised to download both the free R package (http://cran.r-project.org/) and R-Studio (http://www.rstudio.com/ide/download/) before arrival but all files required will be provided.

There will be no tuition fee charged for the course (it’s free) however a registration fee of R500 to cover catering and printing costs will be required. Accommodation and travel costs will also be the responsibility of participants (assistance with booking may be provided). Prospective participants are invited to apply to attend the course by following this link (Deadline 1st June 2015): https://docs.google.com/forms/d/1qKxRsD3-Ssx52AeZrw4TQtU-2GWfHiAxHCBW55gjGuQ/viewform

Successful applicants will be informed by email where after proof of payment to secure your place will be required.

Wits University: Ms Caryn McNamara, +27 11 717 6112, This email address is being protected from spambots. You need JavaScript enabled to view it.
ACCESS: Dr Neville Sweijd, +27-21-6583992, This email address is being protected from spambots. You need JavaScript enabled to view it.
CREEM: Dr. Monique Mackenzie, This email address is being protected from spambots. You need JavaScript enabled to view it.

The process of reconstituting the South African Council for Natural Scientific Professions has been completed. View the new Council.
If you are final year Natural Science student, you can enroll at SACNASP. View more information.