MATH6166 Statistical Computing for Data Scientists
Module Overview
Introduction to the statistical packages R and SAS. The module will consist of two sets of lectures and associated computer workshops, one each in R and SAS.
Aims and Objectives
Module Aims
The aims of the module are: To introduce a range of statistical methods implemented on computers; to give practice in applying methods and interpreting results from them; to develop the use of computers with particular emphasis on R and SAS in the collection, validation, analysis and presentation of data; to help develop the knowledge and experience necessary to implement statistical computing methods.
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- enter and manipulate data within SAS and R
- perform basic statistical analyses using SAS and R and interpret the output
- find information on how to perform advanced statistical analyses using R, and then undertake such analyses.
Syllabus
• Data manipulation in R and SAS • Using the Help menu • Writing functions in R • Conditional execution and loops in R • Graphics in R • Apply the above programming skills in R to problems arising in data analysis • Interpretation of R output • Important commands in SAS, and their syntax • Interpretation of SAS output
Learning and Teaching
Teaching and learning methods
9 lectures (6 in R, 3 in SAS) and 9 computer labs (6 in R, 3 in SAS)
| Type | Hours |
|---|---|
| Follow-up work | 12 |
| Lecture | 6 |
| Preparation for scheduled sessions | 12 |
| Practical classes and workshops | 6 |
| Completion of assessment task | 27 |
| Wider reading or practice | 12 |
| Total study time | 75 |
Resources & Reading list
Garrett Grolemund and Hadley Wickham. R for Data Science.
Der, G. and Everitt, B.S. (2006). Statistical Analysis of Medical data Using SAS.
Assessment
Assessment Strategy
Coursework - a combination of R and SAS coursework with 50% weighting each
Summative
| Method | Percentage contribution |
|---|---|
| Coursework | 100% |
Referral
| Method | Percentage contribution |
|---|---|
| Coursework | 100% |
Repeat Information
Repeat type: Internal & External