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Introduction to Statistics & Data Analysis in Public Health

This course is a part of Statistical Analysis with R for Public Health, a 4-course Specialization series from Coursera.

Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.

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Imperial College London

Rating 4.8 based on 25 ratings
Length 5 weeks
Effort 2-5 hours/week
Starts Jul 6 (last week)
Cost $50
From Imperial College London via Coursera
Instructor Alex Bottle
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

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public health practitioners in one review

I will recommend to all Public Health Practitioners.

really explanatory.. assignments in one review

Really explanatory.. assignments, discussion prompts made me think and clarified important concepts.

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Will be continuing with the rest of the courses in the Specialization.

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With minimal additional self learning you can easily master all of the content of the course.

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Coursera

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Imperial College London

Rating 4.8 based on 25 ratings
Length 5 weeks
Effort 2-5 hours/week
Starts Jul 6 (last week)
Cost $50
From Imperial College London via Coursera
Instructor Alex Bottle
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

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