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Introduction to Statistics & Data Analysis in Public Health

Welcome to Introduction to Statistics &amp Data Analysis in Public Health!This course will teach you the core building blocks of statistical analysis - types...
4.7
4.7/5
(1,010 reviews)
28,361 students
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9.1

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8.6

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9.1

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Platform: Coursera
Video: 1h 37m
Language: English

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9.1 / 10

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8.6 / 10
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Content Score

9.1 / 10
Video Score: 7.8 / 10
The course includes 1h 37m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.5 / 10

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Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

34 articles.
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14 tests or quizzes.

Table of contents

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.

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.

You will learn

✓ Defend the critical role of statistics in modern public health research and practice
✓ Describe a data set from scratch, including data item features and data quality issues, using descriptive statistics and graphical methods in R
✓ Select and apply appropriate methods to formulate and examine statistical associations between variables within a data set in R
✓ Interpret the output from your analysis and appraise the role of chance and bias

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Public Health knowledge.

This course is for

This course is suitable for beginners.

How much does the Introduction to Statistics & Data Analysis in Public Health course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the Introduction to Statistics & Data Analysis in Public Health course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Alex Bottle a SCAM or a TRUSTED instructor?

Alex Bottle has created 6 courses that got 241 reviews which are generally positive. Alex Bottle has taught 36059 students and received a 4.72 average review out of 241 reviews. Depending on the information available, Alex Bottle is a TRUSTED instructor.
School of Public Health
Imperial College London
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.

9.1

CourseMarks Score®

N/A

Freshness

8.6

Feedback

9.1

Content

Platform: Coursera
Video: 1h 37m
Language: English

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