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Introduction to Statistics & Data Analysis in Public Health

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.

Status: Public Health

Status: Descriptive Statistics

BeginnerCourse16 hours

Featured reviews

5.0Reviewed Sep 15, 2021

a methodical way to understand statistics although focus is public health. the lecture open your prospctive to other industries in subtle ways, I also recommend ICL courses.

5.0Reviewed May 27, 2020

Fantastic. Just what I needed as a doctor wanting to learn more about statistics. R is an amazing alternative to other programs such as STATA and SPSS.

5.0Reviewed May 8, 2023

The Journey was excellent. I have learned a lot from this course. I will suggest the course to everyone interested. I will you will have a great learning. Happy Learning...

5.0Reviewed Nov 2, 2021

This course is an excellent introduction to statistical analysis in public health. In addition, the course provides a useful start to the application of R in statistical analysis.

5.0Reviewed Mar 15, 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.

5.0Reviewed Sep 1, 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.

5.0Reviewed Jul 16, 2020

I liked the way the whole course has been designed. I never felt stressed up. It was all fun. The speaker was excellent in blending real life example with statistics.

5.0Reviewed Apr 18, 2020

Great introduction towards statistics in public health, with nice addition of R programming language. The material is meticulously explained and easy to understand.

4.0Reviewed Jun 29, 2020

Challenging but very informative. Sometimes I was not clear on the concept but usually there was a discussion a couple of clicks away which elucidated things,

5.0Reviewed Apr 4, 2021

This is a great introductory course to statistics. It's very clear, logical, and the progression of topics it's perfectly accompanied by examples and practical exercises.

5.0Reviewed Oct 11, 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

5.0Reviewed Sep 5, 2020

This course is great. I like how it is structured and the feedback after activities. Combines theory and practices in an efficient way. Congratulations.

All reviews

Showing: 20 of 300

Georgy Meshkov

4.0

Reviewed Jun 8, 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.

SALVATORE DI GRAZIA

2.0

Reviewed Jun 12, 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.

Fatemeh

2.0

Reviewed Apr 1, 2020

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

Lindsy Richardson

2.0

Reviewed Dec 10, 2019

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

Dwayne Ricardo Tucker

5.0

Reviewed Jan 5, 2021

The instructor videos are amazing- very relatable, applicable, and comprehensible! The principles are simplified as best as possible. This courses also good if you are very new to R.

Vishakh Unnikrishnan

2.0

Reviewed Sep 22, 2019

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

Sandeep Khattri

5.0

Reviewed Oct 12, 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

Indhu Rammohan

5.0

Reviewed May 16, 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.

Han Chen

5.0

Reviewed Dec 5, 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.

Liva Andersone

5.0

Reviewed 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.

Sajith Sasidharan

5.0

Reviewed Mar 15, 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.

Rashidul Hasan

5.0

Reviewed May 5, 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.

Ikenna Mbagwu

5.0

Reviewed Dec 29, 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.

Shubham JanakNarayan Singh

5.0

Reviewed Jun 26, 2019

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

Dean Pere

5.0

Reviewed Jul 7, 2019

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

Hassan choudry

5.0

Reviewed Nov 15, 2021

I came from a background of medical science. I have grip over basic concepts of Statistics as well as some stat softwares for inferential stats. What I lacked was programming background. I wanted to learn R but was always afraid of R. This course made it all seem so easy and enjoyable that I learned it all in less than a month.

I have taken some other courses on Coursera, on Udemy too but all seemed too distant from what I required, ie R from biostat perspective and from scratch. This course provides you exactly. I liked this course so much that I have taken other specializations from Imperial as well and it made me interested in Imperial's MPH as well.

Thank you all the instructors, Dr.Bottle and the team for designing such an amazing coursework in such a way that it motivates you itself to reach higher and make another milestone. And for making such a difficult coursework so much easier for a person from non-mathematical background, And thank you coursera for bringing all of this to us. I remain indebted to all of you for granting me this skill.

Luis Alfredo Márquez García

5.0

Reviewed Sep 1, 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.

Neelam Iqbal

5.0

Reviewed Sep 29, 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

Cornelius Chamia Mutuku

5.0

Reviewed Nov 3, 2021

This course is an excellent introduction to statistical analysis in public health. In addition, the course provides a useful start to the application of R in statistical analysis.

Rebecca Egglestone

5.0

Reviewed Aug 14, 2020

Excellent course with really good teaching. Felt like it developed a good grounding in the basic topics. Would recommend having a little R experience prior to taking this course.