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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

4.7
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1,184 calificaciones
233 reseña

Acerca del Curso

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

LA

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.

SK

11 de oct. de 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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176 - 200 de 239 revisiones para Introduction to Statistics & Data Analysis in Public Health

por Ruaan O C

30 de jun. de 2020

It's perfect

por Jesús G H P

29 de jun. de 2020

amazing!!!!

por Mohammed a e

17 de mar. de 2020

fascinating

por Anup K

7 de sep. de 2019

Good Course

por ONUOHA C A

24 de jun. de 2019

Outstanding

por Ignacio E F

29 de oct. de 2020

Muy bueno!

por Eddy A S M

3 de jun. de 2019

Excelente!

por Albert N

20 de oct. de 2021

V d and u

por Wentao ( Y

11 de dic. de 2020

great!!!!

por Luis S

17 de nov. de 2020

Excellent

por Jesús A O D

5 de abr. de 2020

Ecxellent

por Jeshua R G

6 de mar. de 2020

Excellent

por Shakil A S

16 de feb. de 2021

amazing!

por Lida M

11 de nov. de 2019

Thanks.

por Kim S J

9 de jul. de 2020

Good!!

por JANAKI K

25 de oct. de 2021

good

por Trushal K

21 de jul. de 2021

Good

por Muhammad K u R

18 de jun. de 2022

por Tanvia Z

14 de jul. de 2021

por pablo p

23 de feb. de 2021

.

por fabien M

10 de abr. de 2020

I enjoyed the course.

I noticed a strong acceleration from week 2 to week 3, and in some case, it may be difficult for non native English speaker to answer correctly to the question (as it is formulated), event with years experience of high level business english (including in legal/contract analysis).

The course covers many aspects, but one may have to wait a little for some parts to be clarified (you may experience a lot of questions before getting the answer some lectures after

por Camila E R

2 de feb. de 2021

It was wonderful! I just would like to have a section where to ask for questions to be answered by the teachers, because the foruns sometimes made me more confuse and unconfident...

At the end of the course, I still don’t know:

- How to discover in R that BMI is higher in men

- What to do with variables with many missing values

Thank you for the course. I will keep doing the other courses...

por Khan S I

30 de ene. de 2021

Overall the course has been satisfacory and helped in learning and refining the key statistical concepts in Public Health. It could be more helpful if videas were a bit longer and a bit more elaborative, as sometimes it became tough having a clarity on given topics and those times had to resort to google searches or youtube videos on the given topic.

por Salsabeel I M

20 de abr. de 2020

Indeed the course is great as a start. It is very focussed on public health, so it is suitable for those who are interested in medical research. It introduces the hypothesis formulation in an amazing way. In addition, it highlights the main commands in R that will set some grounds, yet one needs extra self-practice.

por Michelle W

13 de oct. de 2019

The instructor is clear and engaging. I enjoyed the real world examples that were used. My only reason for less than 5 stars is the amount of reading in week 3/4. I very much prefer videos to introduce the concepts, and then perhaps additional readings for further information... More video please!