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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


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


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.

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126 - 150 de 242 revisiones para Introduction to Statistics & Data Analysis in Public Health

por Marcos d S M

20 de nov. de 2021

G​ood introduction to Data Analysis in Public Health

por Muhammad A

31 de mar. de 2021

A great course with a lot of examples for practicing

por Губайдуллина А Р

14 de sep. de 2020

Хорошие основы, многое сложилось в цельную картинку


26 de oct. de 2020

A truly excellent R course for beginners like me!

por Nathiya N

6 de jun. de 2020

I found the course really interesting and useful.

por bouopda k y

30 de sep. de 2020

très interessant comme cours pour devenir expert

por Marzhan N

9 de sep. de 2020

Thank you for the interesting and useful course!

por Alexandra L

3 de ago. de 2022

this course was interesting and easy to learn

por Adegorite O D

29 de jul. de 2020

Awesome course for anyone that is interested

por Norberto I T

16 de ago. de 2020

The abililty to use R is very,very useful.

por Nacho O

7 de dic. de 2019

A great introduction, it's worth the time.

por Oriolowo T A

14 de jun. de 2019

Awesome course and the teaching was superb

por salome a

10 de may. de 2019

Excellent introduction to statistics and R

por Anderson S

27 de abr. de 2019

I love the simplicity of the explanations

por Dhan K B

15 de ago. de 2020

Good course to get into Health analytics

por Rizky M

1 de ago. de 2019

Very helpful, and interesting lecturer !

por Tanawin N

2 de sep. de 2019

Great experience through great efforts!

por AmanySamirMohamed A

30 de oct. de 2021

m​ore helpful and add new skills to me

por Yan M

4 de ene. de 2021

Very clear! Highly recommend this one!


16 de jul. de 2020

Highly educative with relevant content

por Thomas J H

31 de mar. de 2019

Clear and no nonsense. Do recommend.

por Shaibu I

8 de abr. de 2020

Fantastic course and lecturer, kudos

por Benedict S

30 de ene. de 2021

Was truly an up skill. well thought

por Juliana P R

18 de oct. de 2020

I've learnt a lot with this course!

por Sara A

31 de mar. de 2020

Very useful introductory course.