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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

745 calificaciones
160 reseña

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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


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.


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

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76 - 100 de 159 revisiones para Introduction to Statistics & Data Analysis in Public Health

por harshal D

May 30, 2019

I learned a lot about statistical analysis through this course

por Peter H

Oct 16, 2020

Basic knowledge in R and statistics are clearly explained.

por Alexander A

May 05, 2020

excellent introduction, great value. practical instruction

por Damian B

Sep 21, 2019

Great course, high production quality, good presentation

por Javier S M T

Apr 05, 2020

Very useful and interesting introduction to R and Stats

por Joel S M

Aug 03, 2020

Amazing introductory course !!! totally recommended !!

por Muhire I

May 23, 2019

Great presentation and relevant materials for studying

por Romina J

Aug 21, 2019

Aprendí mucho con una metodología bastante didáctica.

por Губайдуллина А Р

Sep 14, 2020

Хорошие основы, многое сложилось в цельную картинку

por Nathiya N

Jun 07, 2020

I found the course really interesting and useful.

por bouopda k y

Sep 30, 2020

très interessant comme cours pour devenir expert

por Marzhan N

Sep 09, 2020

Thank you for the interesting and useful course!

por Adegorite O D

Jul 29, 2020

Awesome course for anyone that is interested


Aug 16, 2020

The abililty to use R is very,very useful.

por Ignacio

Dec 07, 2019

A great introduction, it's worth the time.

por Oriolowo T A

Jun 14, 2019

Awesome course and the teaching was superb

por salome a

May 10, 2019

Excellent introduction to statistics and R

por Anderson S

Apr 27, 2019

I love the simplicity of the explanations

por Dhan K B

Aug 15, 2020

Good course to get into Health analytics

por Rizky M

Aug 01, 2019

Very helpful, and interesting lecturer !

por Tanawin N

Sep 02, 2019

Great experience through great efforts!


Jul 16, 2020

Highly educative with relevant content

por Thomas J H

Mar 31, 2019

Clear and no nonsense. Do recommend.

por Shaibu I

Apr 08, 2020

Fantastic course and lecturer, kudos

por Juliana R

Oct 18, 2020

I've learnt a lot with this course!