About this Specialization

31,978 recent views
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.
Learner Career Outcomes
67%
Started a new career after completing this specialization.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 4 months to complete
Suggested 3 hours/week
English
Subtitles: English
Learner Career Outcomes
67%
Started a new career after completing this specialization.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 4 months to complete
Suggested 3 hours/week
English
Subtitles: English

There are 4 Courses in this Specialization

Course1

Course 1

Introduction to Statistics & Data Analysis in Public Health

4.7
stars
700 ratings
148 reviews
Course2

Course 2

Linear Regression in R for Public Health

4.8
stars
275 ratings
57 reviews
Course3

Course 3

Logistic Regression in R for Public Health

4.8
stars
208 ratings
44 reviews
Course4

Course 4

Survival Analysis in R for Public Health

4.5
stars
169 ratings
43 reviews

Offered by

Placeholder

Imperial College London

Start working towards your Master's degree

This specialization is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Frequently Asked Questions

More questions? Visit the Learner Help Center.