返回到 Introduction to Statistics & Data Analysis in Public Health

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165 個評分

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37 個審閱

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....

May 26, 2019

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

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.

篩選依據：

創建者 Romina J

•Aug 21, 2019

Aprendí mucho con una metodología bastante didáctica.

創建者 Jose L V V

•Aug 30, 2019

the course is very good both in theory and practice with programming in R to public health

創建者 Luis A M G

•Sep 01, 2019

This course has a great content. R programming is a excellent tool for analyze data in public health. Each one of the videos is excellent to understand the conceptual framework and eventually apply those knowledges in R language.

創建者 Tanawin N

•Sep 02, 2019

Great experience through great efforts!

創建者 Anup K

•Sep 07, 2019

Good Course

創建者 Sergio P

•Sep 14, 2019

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

創建者 Damian B

•Sep 21, 2019

Great course, high production quality, good presentation

創建者 CHRISTOS D

•Feb 28, 2019

more time needed to reiew R

創建者 Maha

•Jun 26, 2019

very interesting course for a beginner in statistics with R

創建者 Jiracha J

•Aug 03, 2019

good, but hard sometimes

創建者 Shaswat L

•Aug 03, 2019

This course covers up the very basic and important aspects of Statistics and Hypothesis Testing. What could have still been added were some more complex scenarios where this knowledge can be used and Hypothesis could be formulated.

創建者 Xi F

•Aug 17, 2019

Great course to start learning statistics in public health. I love the example data that are closely related to public health field. Thank you very much!

創建者 Vishakh U

•Sep 17, 2019

Terrible course. Readings are half-baked and do not explain concepts well.