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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

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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 - 250 de 253 revisiones para Introduction to Statistics & Data Analysis in Public Health

por András K

16 de mar. de 2020

The information is presented in a professional manner. However, these are far from reaching the level of an in-depth university course.

por Abhinav

10 de ago. de 2020

a very good beginner's course for people who want to learn R for public health, i used the help of youtube with this course its v nice


14 de sep. de 2020

If it's your first time learning statistics you'll love it. If it's not your first time, it's a great way of refreshing knowledge.

por Sarana W

22 de may. de 2021

useful information however, the program was a bit tough to navigate for me, however once i figured it out it was smoother sailing

por Alireza R

5 de may. de 2022

some parts are extremely easy; other than that, it is suitable for students who want to learn statistics fundamentally

por Marco A J V B

6 de dic. de 2020

Very easy introduction to learn about statistics and to use the R system to get results from a database

por Paul F G

25 de oct. de 2020

A good, general course for learning about public health and a little bit of the R programming language.

por Ainiah R R

30 de abr. de 2020

I strongly enjoyed the refresher on how to apply the statistical tests with relevant data examples.

por Fidel G

25 de nov. de 2019

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

por Akshay k

4 de may. de 2020

A bit hard but very informative and required skills to learn through great professors.

por Maha

26 de jun. de 2019

very interesting course for a beginner in statistics with R

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

The 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.