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學生對 伦敦帝国学院 提供的 Introduction to Statistics & Data Analysis in Public Health 的評價和反饋

1,210 個評分


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....




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



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.


226 - Introduction to Statistics & Data Analysis in Public Health 的 242 個評論(共 242 個)

創建者 Tania K M


It was very interesting and amazing and very informative.

創建者 Keming Z


More details regarding hypothesis test can be included.

創建者 王心怡


well,but i can't open the web about some assignment

創建者 Suraj G


good curse but it should focus more on R skill

創建者 Justin C


a brief introduction to statistical thinking

創建者 Jamila K


amazing and very twisted course and helpful



really informative thank you

創建者 sandeep d


great course

創建者 Maddie M


good course

創建者 David o


Quite good.

創建者 Eugenia S



創建者 Aravind C


T​he course covered the basics of bio-statistics and using R for doing some of these statistics. But I found the lectures lacking in content related to what is to be learned. Most learning took place by taking tests, then referencing the internet to learn about the topics I got wrong. Many times what was asked in a test came later in learning material. Somehow feel the course could be better structured and more videos added to cover the topics asked in tests well as they are important.

創建者 Jocelin L


It says introduction to the course but I think it is presented in a manner (i.e., course materials and online reading) that makes it hard to learn, especially for someone without statistical background. I could learn because I had statistical knowledge and wanted to learn to use R.

創建者 Justin H


Slightly excessive emphasis on calculating formulas and results by hand. Would have been much better to spend more time practicing R and understanding underlying concepts/principles.

創建者 Vijay B


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



Good Introductory Course. Should include hands on tutorials.

創建者 Shivraj B


Good basic intro, not enough R learning