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Opiniones y comentarios de aprendices correspondientes a Introduction to Statistics & Data Analysis in Public Health por parte de Imperial College London

1,206 calificaciones

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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....

Principales reseñas


25 de may. de 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.


11 de oct. de 2019

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

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226 - 242 de 242 revisiones para Introduction to Statistics & Data Analysis in Public Health

por Tania K M

10 de jul. de 2020

It was very interesting and amazing and very informative.

por Keming Z

17 de feb. de 2021

More details regarding hypothesis test can be included.

por 王心怡

28 de jul. de 2021

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

por Suraj G

19 de ene. de 2021

good curse but it should focus more on R skill

por Justin C

22 de dic. de 2019

a brief introduction to statistical thinking

por Jamila K

10 de jul. de 2020

amazing and very twisted course and helpful


3 de ago. de 2020

really informative thank you

por sandeep d

20 de sep. de 2020

great course

por Maddie M

7 de jun. de 2022

good course

por David o

13 de ago. de 2021

Quite good.

por Eugenia S

9 de ago. de 2022


por Aravind C

10 de ene. de 2022

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.

por Jocelin L

14 de jul. de 2020

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.

por Justin H

2 de jul. de 2020

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.

por Vijay B

22 de dic. de 2019

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


7 de ago. de 2020

Good Introductory Course. Should include hands on tutorials.

por Shivraj B

5 de ene. de 2021

Good basic intro, not enough R learning