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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

SK

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

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.

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151 - 175 de 242 revisiones para Introduction to Statistics & Data Analysis in Public Health

por Angelo A P L

24 de ago. de 2020

Excellent course, good content.

por Rahim H

6 de may. de 2019

I very much enjoyed the course!

por Yifan Z

27 de mar. de 2019

very friendly for new beginners

por Deleted A

12 de may. de 2020

Wonderful course for beginners

por R D

19 de jun. de 2019

excellent course for beginners

por Ivana G

28 de jun. de 2020

Clear explanations, fun tests

por Emami A P

19 de jul. de 2020

i really enjoyed this course

por Mauricio F Z M

13 de may. de 2020

Really interesting course

por Lawrence L

8 de feb. de 2020

Fun, fast paced, applied.

por Sehar A

15 de ago. de 2020

Very well planned course

por Yasna P S

4 de mar. de 2020

Good introductory course

por Kaoma M M

12 de mar. de 2020

Current and applicable

por Tawsib A L

28 de sep. de 2020

very effective course

por Enrique D O

31 de mar. de 2019

I highly recommend it

por Piamaria N

15 de mar. de 2020

course presentation.

por Liz M

25 de mar. de 2020

Great use of time!

por Max G

19 de ene. de 2020

It was fun & easy

por Jeffrey Y

18 de ene. de 2022

Excellent course

por Muhammad N

1 de jun. de 2021

very informative

por Md. A S

29 de jul. de 2020

Excellent Course

por SANAL J

26 de may. de 2021

g​reat course .

por laiba y

23 de ene. de 2022

amazing course

por Arnab M

27 de may. de 2021

Great course !

por Tamal K

8 de may. de 2020

perfect course

por BOUBACAR T

25 de jun. de 2021

Good practice