Chevron Left
Retour à Introduction to Statistics & Data Analysis in Public Health

Avis et commentaires pour d'étudiants pour Introduction to Statistics & Data Analysis in Public Health par Imperial College London

4.7
étoiles
809 évaluations
170 avis

À propos du cours

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....

Meilleurs avis

LA
25 mai 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 oct. 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

Filtrer par :

1 - 25 sur 170 Avis pour Introduction to Statistics & Data Analysis in Public Health

par Georgy M

8 juin 2019

The course gives an introduction to basic statistics commonly used in medicine/public health. The key concepts are explained clearly and provide a good foundation. However, there are few lectures (mostly reading material) and many tests are "check yourself" ones. The course would benefit if current reading material was given in lectures (as it is mostly words) and the more advanced reading material was included with more formal/mathematical description of the concepts.

par Lindsy R

10 déc. 2019

I expected much more work on R plus barely any of the syntax worked on my Mac.

par Indhu R

16 mai 2019

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

par SALVATORE D G

12 juin 2020

This course started well, but when it had to dig into explaining statistical analysis or R codes it left the explanation to LOTS of reading material rather than videos. I could have just read a book of statistics rather than enrolling in this course.

par Fatemeh

1 avr. 2020

Not a very educational course all n all. Mostly for someone with previous knowledge on the matter.

par Vishakh U

22 sept. 2019

Could be way better. AP level statistics should be recommended before starting this course.

par Han C

5 déc. 2019

I like this professor. His interesting teaching style is like Professor Attenborough you see on BBC Earth. He will bring up an issue and give you just enough information so that I can go about researching this on Google, Youtube, and other lectures on Coursera. He is good for professionals not liking a rigid educational format.

par Liva A

26 mai 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.

par Sandeep K

12 oct. 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

par Shubham J S

26 juin 2019

I found this data very interesting and useful learnt very new sets of skills and will carry on in this topic.

par Dean P

7 juil. 2019

This was a great introduction. to statistics in public health. Thanks!

par Sajith S

15 mars 2020

Brilliant!! Simply brilliant. Alex is superb. You cant understand statistics better anywhere in the world other than this course. This is an essential course for anyone into clinical research or anyone doing their Phd's in Biological sciences or having an interest in science journalism. I urge all of you to take this course. This is more than an introduction to statistics.

Thanks Alex!! You are great at teaching& communicating statistics. Hope to meet up with you someday. Take care and I am going forward with the entire specialization.

par Luis A M G

1 sept. 2019

This course has a great content. R programming is a excellent tool for analyze data in public health. Each one of the videos is excellent to understand the conceptual framework and eventually apply those knowledges in R language.

par Rashidul H

5 mai 2019

I will definitely recommend anyone to undergo the materials provided from Imperial faculty to hone statistical reasoning skill and enhance problem solving capacity. Indeed a organized and effective course after a bit long time.

par Ikenna M

29 déc. 2019

This course is amazing for candidates looking to gain a fundamental understanding of Public Health Research. The videos are very educative and the assignments are crucial to having a firm grasp of the topics that are taught.

par Neelam I

29 sept. 2019

Fantastic resource for novices and people with bit more statistical experience (like myself). Really enjoyable and moves at a really good pace. I learnt a lot and was able to refine my statistical skills

par Anusha B

16 mars 2020

Insightful, concise and made highly easy to understand thanks to the great instructor! Things I learned here have been utilized in both my academic and my professional pursuits.

par Pippa D

2 sept. 2020

An enjoyable course in Stats for complete beginners. It is a good mix of videos, exercises and quizes that kept my interest up. I shall go on to the next module in this course.

par Pau G C

17 févr. 2020

A good introduction to the statistical thinking in order to clarify some basic but esential concepts as: research question, hypothesis, etc

par Sergio P

14 sept. 2019

The teacher is great, the classes are clear and the readings are understandable. A MUST HAVE if you want to learn Public Health.

par Jeba M

19 juil. 2019

Really explanatory.. assignments, discussion prompts made me think and clarified important concepts.

par Seungyeon J

7 oct. 2019

Very easy to understand the basic statistics and know how to use R.

Value for money.

Many Thanks!!!

par Jose L V V

30 août 2019

the course is very good both in theory and practice with programming in R to public health

par Usman A

7 avr. 2019

Superb course. I will recommend to all Public Health Practitioners.

par Tusharindra L

24 mai 2020

The 4th week of the course was completed mostly in the form of reading notes which were honestly torturous. Everything else was really good. Cheers!