Statistics and Data Analysis

Singapore University of Social Sciences

Statistics and Data Analysis (PSY403)

Synopsis

PSY403 Statistics and Data Analysis focuses on understanding data, discovering connections in data and finding patterns in data. It covers a range of statistical methods such as regression and factor analysis, as well as data mining models, including artificial intelligence and decision machine approaches (e.g., association analysis, neural networks and decision trees), for analysing and interpreting data. It also explores topics beyond predictive modelling, such as prescriptive analytics. The course uses statistics and data mining software to provide students with hands-on experience in working with data sets, generating and interpreting results, and applying and deploying the findings. PSY403 adopts an applied (and not mathematical) approach to looking at data that is aimed at preparing students to undertake research/analytics projects. Students taking this course are expected to have some background in statistical methods and analysis.

Level: 4
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

Visualisation and description
Statistics and data mining concepts
Data preparation and using statistics/data mining software
Association analysis
Clustering
Factor analysis
Statistics: Simple regression
Multiple regression and regression issues
Artificial intelligence: Neural networks
Machine learning: Decision trees
Other methods for data analysis
Beyond predictive modelling

Learning Outcome

Formulate a framework for data analysis
Analyse data sets to understand the data, discover connections and find patterns
Evaluate statistical and data mining results
Solve research and analytics problems with statistical and data mining findings
Create data analytical outputs using statistics and data mining software
Select the appropriate methods of data analysis
Appraise the analysis of data in research and analytics projects