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Introduction to Statistics & Data Analysis in 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. You'll learn about key statistical concepts like sampling, uncertaint

Created by: Alex Bottle

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Overall Score : 96 / 100

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Course Description

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.PrerequisitesSome 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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Instructor Details

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Prof. Alex Bottle is Professor in Medical Statistics and co-director of the Dr Foster Unit at Imperial. His research focuses on measuring and explaining variations in the quality and safety of healthcare using large databases. He teaches on a range of undergraduate and postgraduate degree courses and supervises and examines PhDs; his current students work in diverse areas such as surgery, cardiovascular risk and digital health. He also trains the UK public sector in statistical thinking.

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Reviews

4.8

46 reviews in total

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By Yasna P S on 13-Nov-19

Good introductory course

By Lida M on 11-Nov-19

Thanks.

By Faria H on 5-Nov-19

Wonderful course for beginners

By Michelle W on 13-Oct-19

The instructor is clear and engaging. I enjoyed the real world examples that were used. My only reason for less than 5 stars is the amount of reading in week 3/4. I very much prefer videos to introduce the concepts, and then perhaps additional readings for further information... More video please!

By Sandeep K on 12-Oct-19

This is the best course among all I've taken..The instructor has presented the content precisely.I highly recommend to those who are looking to explore R in the field of health

By Seungyeon J on 7-Oct-19

Very easy to understand the basic statistics and know how to use R.Value for money.Many Thanks!!!

By Todd D on 1-Oct-19

Excellent introduction to the topic. Well-paced and prepares the learner for future courses. Very well done.

By Neelam I on 29-Sep-19

Fantastic resource for novices and people with bit more statistical experience (like myself). Really enjoyable and moves at a really good pace. I learnt a lot and was able to refine my statistical skills

By Vishakh U on 22-Sep-19

Could be way better. AP level statistics should be recommended before starting this course.

By Damian B on 21-Sep-19

Great course, high production quality, good presentation

By Sergio P on 14-Sep-19

The teacher is great, the classes are clear and the readings are understandable. A MUST HAVE if you want to learn Public Health.

By Anup K on 7-Sep-19

Good Course

Showing 12 of 46 reviews