This course will provide practical training in data management and statistical analysis of
environmental data. Students will attend an initial series of lectures on univariate and bivariate numerical techniques. These lectures will cover experimental design of ecological studies and the application of basic parametric and nonparametric statistics to simple environmental datasets. We will then focus on how one can determine an effective sample size for their study, species richness and abundance indices, data exploration techniques prior to analysis, and then progress to explore the use of multivariate statistical techniques to analyze environmental datasets first looking at multiple regression and generalized linear modeling, and then focusing on interdependence techniques (both indirect and direct gradient analyses). The course will then look at database management for environmental data, followed by social instrument design, implementation, and analysis. All statistical work will be done using programme R.
Department of Mathematics and Statistics
Faculty of Science and Technology
Compulsory Fees: TTD 640.00
Tuition Fees: TTD 4521.00
- Pre-Requisites: None
- Course Credits: 3
- Assessment: TBA
- Mode: Blended
- Duration: Lectures: January 19 – April 10, 2026
- Lecture Time: TBA 5:00pm – 8:00pm
For More Information, Contact: devika.bhagwandin@sta.uwi.edu