Description
Statistical Analysis with R for Public Health Specialization is published by Coursera Academy. Statistics are everywhere: the probability of rain today, trends in unemployment rates over time, the chances of India winning the next Cricket World Cup. In sports like football, statistics started out as more of a hobby, but now it’s become big business. Statistical analysis also plays a key role in medicine, especially in the broad and fundamental field of public health. In this specialization, you’ll look at medical research and explore how—and why—you turn an obscure concept into a scientifically testable hypothesis. You’ll learn key statistical concepts like sampling, uncertainty, variability, missing values, and distributions. You will then get hands-on with analyzing datasets on major public health challenges – fruit and vegetable consumption and cancer, diabetes risk factors, and predictors of death after hospitalization for heart failure – using R, a free, powerful, and widely used software package. This specialization consists of four courses – Statistical Thinking, Linear Regression, Logistic Regression, and Survival Analysis – and is part of our Global Master of Public Health program, starting in September 2019. This specialization can be completed independently of the GMPH and does not require any knowledge of statistics or R. All you need is an interest in medical topics and quantitative data.
What you will learn
- Identify key components of statistical thinking to advocate for the vital role of statistics in modern public health research and practice.
- Describe a data set from scratch using descriptive statistics and graphical methods as an initial step to more advanced analysis using R software.
- Apply appropriate methods to develop and examine statistical relationships between variables in a data set using R.
- Interpreting the output of the analysis and assessing the role of probability and bias as explanations for the results obtained.
Course details: Statistical Analysis with R for Public Health Specialization
- Publisher: Coursera
- Instructor: Victoria Cornelius
- Language: English
- Education level: Elementary
- Number of lessons: 4
- Training duration: 1 month, including 10 hours of work per week
Course Titles: Statistical Analysis with R for Public Health Specialization
Course prerequisites
- Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Course 1 – Introduction to Statistics & Data Analysis in Public Health
Course 2 – Linear Regression in R for Public Health
Course 3 – Logistic Regression in R for Public Health
Course 4 – Survival Analysis in R for Public Health
File size
1.3 GB
