返回到 Introduction to Statistics & Data Analysis in Public Health

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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....

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.

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

筛选依据：

创建者 Mennatalla N S

•Apr 11, 2020

The formulae did not work on my laptop and could not solve this problem and could not contact the instructors. The instructor way of illustration is simple and nice so I would prefer more videos than the too much readings in the last week .

创建者 Brenda Y

•Jun 30, 2020

I was so apprehensive about starting this course because I associated R with programming (that I very much dislike) but it has been very fascinating and I've learned so many useful things like creating histograms and doing hypothesis testing in R! It's certainly not as scary/difficult as I thought, and I'm looking foward to the next few courses!

创建者 Brittany R

•Jun 19, 2020

This was an excellent course! I have a MPH degree and I took this course as a refresher on statistical concepts but also to begin learning R. The professor was great and the examples really started to reinforce concepts within R. Overall, I found this course to be very informative and useful for my day to day work.

创建者 Dr K K

•Jul 12, 2020

Good session, clear content, good flow, excellent assignments and practice sessions

Only in one place, tables of assignment for chi square test, total mistake was there. In one quiz, mean value of 11 and 14 samples were not accepted as correct. The reason behind this is not explained. As a whole, excellent course.

创建者 Michael O O

•Jun 28, 2020

If you want to really understand statistics for data analysis, this course is a great idea. The professor, Dr. Bottle actually did a great job on the contents of this course. I had a statistical background, and this course helps me to understand some concepts that I didn't understand before.

创建者 Gianni B

•Jul 11, 2020

This introductory statistics course is far better than the similar one I took with Johns Hopkins University because there are fewer recorded lectures and more work involving reading. it is also broken down into smaller "chunks" and Alex Bottle is very engaging in his lectures.

创建者 Tarif T K

•May 17, 2020

Excellent course! I must say that I have genuinely learned a lot about medical research using statistical tools from this course. And there were many concepts of statistics that that weren't clear to me. This course helped me understand those concepts as well.

创建者 Oranicha J

•Jun 17, 2020

Great introduction to R and statistics related to public health research. I recommend doing the readings and practice problem as well. I was a bit confused in the beginning but I supplement this lesson with other introduction to R classes online

创建者 Max S

•Jun 01, 2020

Really good course covering statistics. I've covered this topic before in other courses, and I was impressed at how the instruction and quizzes cover the material in a clear and nuanced way. This course is introductory but not basic.

创建者 Thiago V

•May 08, 2020

Perfeita introdução para uma área de estudos tão importante e relevante na atualidade, quero continuar minha formação nessa área, pois este curso me mostrou que estou no caminho certo! Obrigado professor Alex Bottle!

创建者 Anusha B

•Mar 16, 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.

创建者 Rupok C

•Jun 10, 2020

Excellent introductory course on statistics and its facts. It helps to assess several testings based on different data types and interpreting values using R programming.

创建者 M T H P

•Jul 17, 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.

创建者 Mikalai Y

•Apr 19, 2020

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

创建者 David G Á

•May 05, 2020

Very good for an initial introduction to the topic. I think it is not a good stand alone course, it is ment to introduce to the next courses in the specialization.

创建者 Cliff W

•May 28, 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.

创建者 Mayur N

•Apr 08, 2019

Wonderful explanation and introduction to R programing. With minimal additional self learning you can easily master all of the content of the course.

创建者 Chandu P L

•May 20, 2020

Loved the instructor. Everything was rightly pointed out. And lastly for me he looks like Thomas Shelby from British series Peaky Blinders. Haha.

创建者 MUWANGA R J S

•Mar 14, 2020

Wonderful introduction to statistics or public health. Loved the lecturer. He was engaging, and able to make theoretical concepts more intuitive.

创建者 Shashwat T

•Apr 25, 2020

It is a highly recommended course with a bit of background knowledge. Background knowledge is required as it is a part of the Master's course.

创建者 Samah A

•Feb 07, 2020

A short and precise introduction. Found it pretty basic but would definitely recommend it to anyone just starting out with statistics 👍

创建者 Vũ M L

•Dec 30, 2019

This is an excellent course, it helps me play a solid foundation about Biostatistics in particular and Public Health in General

创建者 Dr G K

•Jul 12, 2020

Excellent course, good and short videos, good practice sections...Instructor delivers the content well in good flow and pace

创建者 Swetha J

•Apr 12, 2020

Excellent content and methodology of teaching. Great mix of examples to understand the concepts and hands on analysis in R.

创建者 Dr. M

•Apr 14, 2020

Worth taking this course. Concepts of sampling, distributions and hypothesis testing are taught very well by Professor.