Course Catalogue

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This course will enable students to develop advanced expertise in data analysis for a wide variety of subject areas using the statistical package R.

20 two hour practical computing sessions (weekly, at times to be arranged)

Some optional courses may be constrained by space and entry to these is not guaranteed unless you are in a programme for which this is a compulsory course.

STATS5051 Advanced Data Analysis (Level M)

Laboratory work (100%)

To develop advanced expertise in formulating and implementing statistical approaches to practical problems in a wide variety of subject areas.

To integrate material covered in various lecture courses with skills developed through practical work in order to solve real-world problems.

To train students in more advanced aspects of statistical computing through the statistical package R.

To further develop written skills of presentation and communication.

To provide the opportunity for critical thinking and independent learning.

By the end of this course students will be able to:

■ formulate questions of interest and identify relevant informal and formal statistical methodology for a wide variety of practical contexts;

■ implement the various stages of advanced statistical analysis appropriately in R;

■ interpret the output of an R procedure;

■ critically collate results and conclusions;

■ present the main results and conclusions in the form of concise summaries;

■ present results of analyses in the form of written reports;

■ work independently (and as a group) on practical data analysis problems;

■ write R code that can be utilised by another user to produce their own statistical analyses.