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Introduction to Statistics & Data Analysis in Public Health, Imperial College London

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56 Bewertungen
11 Bewertungen

Über diesen Kurs

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....

Top-Bewertungen

von MN

Apr 08, 2019

Wonderful explanation and introduction to R programing. With minimal additional self learning you can easily master all of the content of the course.

von IR

May 16, 2019

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

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12 Bewertungen

von Muhire Ivan

May 23, 2019

Great presentation and relevant materials for studying

von Indhu Rammohan

May 16, 2019

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

von salome aina

May 10, 2019

Excellent introduction to statistics and R

von Rahim Huseyinsoy

May 06, 2019

I very much enjoyed the course!

von Rashidul Hasan

May 05, 2019

I will definitely recommend anyone to undergo the materials provided from Imperial faculty to hone statistical reasoning skill and enhance problem solving capacity. Indeed a organized and effective course after a bit long time.

von Anderson Soriano

Apr 27, 2019

I love the simplicity of the explanations

von Mayur Narkhede

Apr 08, 2019

Wonderful explanation and introduction to R programing. With minimal additional self learning you can easily master all of the content of the course.

von Usman Al-Rashid

Apr 07, 2019

Superb course. I will recommend to all Public Health Practitioners.

von Thomas J. Haslam

Mar 31, 2019

Clear and no nonsense. Do recommend.

von Enrique Diaz Ocampo

Mar 31, 2019

I highly recommend it