Data Analysis for Precision Health Micro-credential

This course provides essential statistical skills to analyse and interpret vast health and medical data, transforming it into actionable insights.

As we enter the data revolution, the scale and accessibility of health and medical data has reached unprecedented levels creating a growing need for expertise in extracting insights from this data.

This course will provide participants with essential statistical skills to analyse and interpret health and medical data. Key topics include linear models, mixed effect models, logistic regression and survival analysis. Real health and medical data will be utilised to explore common challenges, practical workarounds, and translate data into actionable insights.

By the end of this course, you will be able to:

• formulate and interpret appropriate linear models to describe the relationships between multiple factors
• train and evaluate logistic regression models for binary data
• understand and apply linear mixed effect models for data with repeated measures
• visualise survival data with Kaplan-Meier curves and perform inference with Cox proportional hazards models.

This course has a special 20% discount for University of Sydney Alumni.