This module covers a range of topics and skills relating data analytics. The main learning outcomes for the module are;
Understand and explain the purpose and outputs of data integration activities.
Explain how and why data from multiple sources can be integrated to provide a unified view
Understand and describe how programming languages for statistical computing (SQL) can be applied to data integration activities, improving speed and data quality for analysis.
Describe how to evaluate and improve data quality when preparing data for analysis
Describe big data, and explain the challenges associated with processing large data volumes, including how programming can assist with processing big data
Be able to describe different testing methods and requirements to ensure that unified datasets are correct, complete and up to date.
Explain the capabilities of the statistical language R and programming language, python when used to manipulate data and process data.
Explain how statistical programming languages are used in preparing data for analysis and within analysis projects.
