Statistical Programming

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Understand basic data structures and programme control in the Python programming language
• Work independently in retrieving, organising and analysing data from surveys, censuses, and administrative sources.
• Obtain additional information on how to perform advanced statistical analyses using R and then undertake such analyses.
• Enter and manipulate data within R.
• Perform standard statistical analyses using R and interpret the resulting output for a wide range of statistical data that arise in government.

Introduction to R.

R basics.

Data management in R.

R functions for statistical analysis: linear regression and more.

Statistical computing in R.

Simulation.

Introduction to Python.

Python data structures and Python modules.

Interfacing R with Python and other data processing/management software.

Depending on feasibility, teaching may be delivered face to face intensively over a week, or online using a mixture of synchronous and asynchronous online methods, which may include lectures, workshop activities, exercises, and videos. A range of resources will also be provided for further self-directed study.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.