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STAT6103 2025-26
Statistical Programming
This module aims to give students a grounding in the use of statistical software for data manipulation, analysis and simulation. It uses the R software as a basis, but also introduces students to the Python programming language, as both tools have wide functionality and close links with data science. -
STAT6146 2026-27
Statistical Programming in Python
This module aims to give students a grounding in the use of statistical software for data manipulation and analysis in Python. -
PSYC6055 2025-26
Statistical Programming in R
The Statistical Programming in R Module is focused on extending existing skills in analyzing data from quantitative research. The focus of this course will not be on extensively expanding the mathematical knowledge of the techniques employed but will be on acquiring practical skills such as scripting, flexible matrix manipulation and advanced visualization. All these skills are particularly useful when confronted with especially large datasets, and when confronted with a multitude of repetitive statistical
procedures needing implementation. This module will also cover an introduction into Linear Mixed Models. Analyses will be implemented using the interactive programming environment known as R. R is a free, open source programming language for statistical analysis. -
STAT6142 2026-27
Statistical Programming in R
This module aims to give students a grounding in the use of statistical software for data manipulation, analysis and simulation in R. -
PSYC6055 2026-27
Statistical Programming in R
The Statistical Programming in R Module is focused on extending existing skills in analyzing data from quantitative research. The focus of this course will not be on extensively expanding the mathematical knowledge of the techniques employed but will be on acquiring practical skills such as scripting, flexible matrix manipulation and advanced visualization. All these skills are particularly useful when confronted with especially large datasets, and when confronted with a multitude of repetitive statistical
procedures needing implementation. This module will also cover an introduction into Linear Mixed Models. Analyses will be implemented using the interactive programming environment known as R. R is a free, open source programming language for statistical analysis. -
PSYC6055 2027-28
Statistical Programming in R
The Statistical Programming in R Module is focused on extending existing skills in analyzing data from quantitative research. The focus of this course will not be on extensively expanding the mathematical knowledge of the techniques employed but will be on acquiring practical skills such as scripting, flexible matrix manipulation and advanced visualization. All these skills are particularly useful when confronted with especially large datasets, and when confronted with a multitude of repetitive statistical
procedures needing implementation. This module will also cover an introduction into Linear Mixed Models. Analyses will be implemented using the interactive programming environment known as R. R is a free, open source programming language for statistical analysis. -
MATH6026 2025-26
Statistical Seminar Series I
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MATH6026 2026-27
Statistical Seminar Series I
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MATH6026 2027-28
Statistical Seminar Series I
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MATH6026 2028-29
Statistical Seminar Series I