Back to Introduction to Statistics & Data Analysis in Public Health

4.7

stars

619 ratings

•

129 reviews

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....

Oct 12, 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

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.

Filter by:

By Georgy M

•Jun 08, 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.

By Lindsy R

•Dec 11, 2019

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

By Indhu R

•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.

By Liva A

•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.

By Sandeep K

•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

By Shubham J S

•Jun 26, 2019

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

By Dean P

•Jul 08, 2019

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

By SALVATORE D G

•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.

By Fatemeh

•Apr 01, 2020

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

By Vishakh U

•Sep 22, 2019

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

By Sajith S

•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.

By Han C

•Dec 06, 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.

By Luis A M G

•Sep 01, 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.

By Rashidul H

•May 05, 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.

By Ikenna M

•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.

By Neelam I

•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

By Pau G C

•Feb 17, 2020

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

By Sergio P

•Sep 14, 2019

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

By Jeba M

•Jul 19, 2019

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

By Seungyeon J

•Oct 07, 2019

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

Value for money.

Many Thanks!!!

By Jose L V V

•Aug 30, 2019

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

By Usman A

•Apr 07, 2019

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

By Tusharindra L

•May 24, 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!

By CHRISTOS D

•Feb 28, 2019

more time needed to reiew R

By Jiracha J

•Aug 03, 2019

good, but hard sometimes

- AI for Everyone
- Introduction to TensorFlow
- Neural Networks and Deep Learning
- Algorithms, Part 1
- Algorithms, Part 2
- Machine Learning
- Machine Learning with Python
- Machine Learning Using Sas Viya
- R Programming
- Intro to Programming with Matlab
- Data Analysis with Python
- AWS Fundamentals: Going Cloud Native
- Google Cloud Platform Fundamentals
- Site Reliability Engineering
- Speak English Professionally
- The Science of Well Being
- Learning How to Learn
- Financial Markets
- Hypothesis Testing in Public Health
- Foundations of Everyday Leadership

- Deep Learning
- Python for Everybody
- Data Science
- Applied Data Science with Python
- Business Foundations
- Architecting with Google Cloud Platform
- Data Engineering on Google Cloud Platform
- Excel to MySQL
- Advanced Machine Learning
- Mathematics for Machine Learning
- Self-Driving Cars
- Blockchain Revolution for the Enterprise
- Business Analytics
- Excel Skills for Business
- Digital Marketing
- Statistical Analysis with R for Public Health
- Fundamentals of Immunology
- Anatomy
- Managing Innovation and Design Thinking
- Foundations of Positive Psychology