Statistical Analysis with R for Public Health
Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis.
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- Level Foundation
- Course by Imperial College London
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Offered by
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Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around. This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019. The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.Auto Summary
Discover the essential role of statistical analysis in public health with our engaging course, "Statistical Analysis with R for Public Health." Designed for those passionate about medical research and quantitative data, this course offers a comprehensive introduction to key statistical concepts and hands-on experience with R, a versatile, widely-used software. Dive into four in-depth modules covering statistical thinking, linear regression, logistic regression, and survival analysis. Learn to transform vague notions into scientifically testable hypotheses and analyze real-world data sets on major public health issues, such as cancer, diabetes, and heart failure. Led by expert instructors from Coursera, this foundational course requires no prior knowledge of statistics or R. It’s perfect for beginners looking to enhance their skills in health and fitness domains. Whether you’re pursuing the upcoming Global Master in Public Health degree or seeking to expand your knowledge independently, flexible subscription options, including Starter and Professional plans, make it easy to start learning today. Join us and make a meaningful impact in the field of public health through the power of statistical analysis.
Alex Bottle
Victoria Cornelius