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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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101 - 125 de 242 revisiones para Introduction to Statistics & Data Analysis in Public Health

por MS.SHWETA G

4 de dic. de 2020

well defined course and well organized and explainable syllabus

Really helpful

por LIANG Y

13 de ago. de 2020

It's a great course that could build up a solid basic knowledge of statistics

por Dibbya P D

18 de dic. de 2021

very informative and on point. Thanks for providing such wonderful course.

por Nimmi M

22 de jul. de 2019

a very good class

something i was looking for a long time

thanku Mr. bottle

por RANJEET S M

22 de abr. de 2020

"The Coursera course content is extremely well planned and taught well"

por nicole d

1 de nov. de 2020

Great start to statistics. Well explained and step by step guidance.

por Rodrigo G M

30 de sep. de 2020

very delightful to begin the process of R program in this course.

por ALIA B A A

4 de ago. de 2021

Easy to follow and a good refresher since I have some background

por Fjorida L

24 de may. de 2020

The instructions and explanations from Prof Alex were excellent.

por yi j

2 de feb. de 2020

Very practical and explicit course about basic statistics and R.

por Chutong D

8 de abr. de 2022

Such a good introductory course to statistics in public health!

por Enyerbert G

15 de may. de 2021

This course is perfect to all that have a public health degree

por harshal D

30 de may. de 2019

I learned a lot about statistical analysis through this course

por 徐菲

24 de feb. de 2021

All the Tests are very interesting and worth to have a try!

por Christina M

13 de dic. de 2020

an excellent specialiaztion in statistics and Data analysis

por Peter H

16 de oct. de 2020

Basic knowledge in R and statistics are clearly explained.

por Alexander A

4 de may. de 2020

excellent introduction, great value. practical instruction

por Idowu O O

14 de oct. de 2021

This was a well-detailed course and the tutor made it fun

por Tanvir A

28 de jul. de 2021

Enjoyable & precise. Thanks to the instructor & coursera.

por Damian B

21 de sep. de 2019

Great course, high production quality, good presentation

por Javier S M T

5 de abr. de 2020

Very useful and interesting introduction to R and Stats

por Joel S M

3 de ago. de 2020

Amazing introductory course !!! totally recommended !!

por Muhire I

23 de may. de 2019

Great presentation and relevant materials for studying

por Andrew K

27 de nov. de 2020

Very easy and clear to understand. I highly recommend

por Romina A J B

20 de ago. de 2019

Aprendí mucho con una metodología bastante didáctica.