In this course we will introduce the basic ideas and algorithms of supervised learning and we will implement them using R programming language (you will need to be comfortable with using base R and the tidyverse). A brief theoretical overview of the so-called learning setting will be provided, then the main focus will be on showing practical analysis and modelling of data related to healthcare.
Penny and Filippo were very good course instructors, explained everything clearly, and made some of the more complex elements easier to understand. I found the course very enjoyable and application of the insight gained will definitely be of value to my organisation.
Data analysis and pre-processing, exploratory data analysis, handling missing data.
Feature engineering techniques including but not limited to: transformations, feature extraction, reduction and selection.
Using decision trees and random forests for regression.
To do this course you will need to be comfortable with using base R and the tidyverse.
This course is free and available to all those working in health and care in the Midlands, e.g. NHS, Public Health, Local Authority, ICBs, ICSs etc
8 half-days (9.30 am to 1.00 pm) September to November 2023
Online – delivered via Zoom with a combination of delivery styles.
Registration is now closed.