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Introduction to Statistics & Data Analysis in Public Health(으)로 돌아가기

임페리얼 칼리지 런던의 Introduction to Statistics & Data Analysis in Public Health 학습자 리뷰 및 피드백

279개의 평가
60개의 리뷰

강좌 소개

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....

최상위 리뷰


Oct 12, 2019

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


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.

필터링 기준:

Introduction to Statistics & Data Analysis in Public Health의 60개 리뷰 중 51~60

교육 기관: rob v m

Feb 08, 2020

Excellent course. Step by step approach. I appreciated the video's and the learning material in the background presented in the accompanied papers. In addition, the exam questions and quizes were in line with the discussed subjects.

교육 기관: 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.

교육 기관: 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!

교육 기관: Fidel G

Nov 26, 2019

The course will make your mind to spin as you try to get the correct answer to the questions.

교육 기관: Maha

Jun 26, 2019

very interesting course for a beginner in statistics with R

교육 기관: Justin C

Dec 22, 2019

a brief introduction to statistical thinking


Feb 28, 2019

more time needed to reiew R

교육 기관: Jiracha J

Aug 03, 2019

good, but hard sometimes

교육 기관: Vijay B S

Dec 22, 2019

Overall good! Great way to get introduced to basic concepts of statistical thinking in public health and learning to use R.

교육 기관: Vishakh U

Sep 22, 2019

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