Predictive modelling is a statistical technique used to predict and forecast likely outcomes that impact your organisation, based on historical data.
By using the right predictive modelling technique, you can use your data to mitigate against potential risk, identify areas of improvement and enhance the overall performance of your organisation.
Our Fundamentals of Predictive Modelling course is designed to give those not familiar with predictive modelling, key methods and ways of thinking that will prepare you for using predictive modelling effectively within your organisation.
Use the free R software to get hands-on experience of the decisions and coding required to launch and improve predictive models. Understand the concepts, processes and applications of predictive modelling, with a focus on a statistical (regression) and machine learning approach (decision trees and random forests).
Delegates will be asked to download the latest version of R.
Unlocking the Power of Virtual
Our virtual courses have been designed with you in mind. From group exercises in breakout rooms to live chat, whiteboards and interactive polls, we use a range of tools and techniques to ensure that you can connect with your trainer; network and share best practice with your peers and leave the day with the skills you need.
Our courses provide you with an interactive and engaging learning environment that can be accessed from any location, helping you to continue to connect, learn and grow. Click here to discover more!
Please note we will use Zoom to virtually deliver this course.
Robert is a trainer, coach and writer on statistics and working in data science, especially data visualisation and Bayesian models.
He taught statistics and research methods to postgraduate clinical research students at St George’s Medical School and Kingston University (2010-2017), and contributed to many health services and biomedical research projects in this time. His freelance clients include Harvard Medical School, The Economist, and the Cabinet Office.
He is a fellow of the Royal Statistical Society and served on their statistical computing committee from 2012-16. He worked on clinical audits, analysing hospital quality and safety ...