The broad aim of the module is to present an overview of core data science concepts and tools, focusing on real-life data science research questions with practical exposure to R programming as an integral part of the course.
Demonstrate the ability to identify and integrate data of various types from traditional and alternative sources, and make informed judgements about their use in data science research
Critically evaluate the methodologies applied in data collection, data processing, data analysis & dissemination of research findings
Critically assess methods and data strengths and limitations combined to application of R
Core data science concepts
Different types of data sources
Data collection, including innovative data collection methods
Challenges associated with unstructured data
Basic data analysis (structured and unstructured data)
Assessment (if applicable):
Written report detailing the application of data science to the solution of selected problems. Each problem will necessarily involve the use of programming in R and SQL.