This is a unique entry level workshop specifically designed to teach the basics of data science and machine learning for the health and social sciences.
The workshop will cover the most in demand data science and machine learning methods for both supervised (regression, classification and regression trees, neural nets and support vector machines) and unsupervised learning (clustering). Participants will learn how to choose the appropriate method, and how to analyse and interpret the results using RStudio. No prior knowledge of RStudio is necessary, RStudio will be introduced as part of the course.
Instructors
Professor Marijka Batterham, Professor Alberto Nettel-Aguirre, Brad Wakefield from the Statistical Consulting Centre and the Centre for Health and Social Analytics
Dates
Monday 14 - Wednesday 16 November
Time
9.30 am - 1.30 pm each day on Zoom (link and course information provided after registration)
Cost
$220