Alex Bottle

Prof. Alex Bottle is Professor in Medical Statistics and co-director of the Dr Foster Unit at Imperial. His research focuses on measuring and explaining variations in the quality and safety of healthcare using large databases. He teaches on a range of undergraduate and postgraduate degree courses and supervises and examines PhDs; his current students work in diverse areas such as surgery, cardiovascular risk and digital health. He also trains the UK public sector in statistical thinking.

Coursera

Imperial College London

Linear Regression in R for Public Health (Coursera)

Health & Society Statistics & Data Analysis

Discover the art and science of preventing disease through organized efforts in society with our Linear Regression in R for Public Health course. Learn to create statistical models that describe how patient and environmental factors influence illness risk, starting from basic concepts like correlation and linear regression. This course will guide you through data importation, examination, and model fitting using the powerful R programming language.

Jun 1st 2026

4 Weeks

Public Health Linear Regression R Programming

Coursera

Imperial College London

Introduction to Statistics & Data Analysis in Public Health (Coursera)

Health & Society Statistics & Data Analysis

Discover the essential elements of statistical analysis and data interpretation tailored specifically for public health professionals. This course provides a solid foundation in understanding key concepts such as types of variables, common distributions, and hypothesis testing. By the end of this program, you'll be able to analyze new datasets, identify their main characteristics, perform basic analyses, and formulate and test hypotheses based on means and proportions.

Jun 1st 2026

4 Weeks

Health Statistics Data Analysis

Coursera

Imperial College London

Logistic Regression in R for Public Health (Coursera)

Health & Society Statistics & Data Analysis

Dive into 'Logistic Regression in R for Public Health' - a practical course designed for healthcare professionals aiming to harness the power of statistical modeling within their field. This hands-on experience will equip you with essential skills in logistic regression analysis, focusing on real-life public health data sets and using R as your tool. You'll learn how to predict health outcomes accurately, considering the unique complexities of public health data.

Jun 1st 2026

4 Weeks

Health Public Health Logistic Regression

Coursera

Imperial College London

Survival Analysis in R for Public Health (Coursera)

Health & Society Statistics & Data Analysis

Dive into the world of Survival Analysis in Public Health with our expert-led online course. Gain a deep understanding of time-to-event analysis using R, learn about unique terms like hazard and censoring, and apply your skills through practical data analysis exercises. Perfect for public health professionals looking to enhance their analytical capabilities.

Jun 1st 2026

4 Weeks

Data Analysis Public Health R Programming

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