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Summary Statistics in Public Health

Biostatistics in Public Health ,

Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.
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Rating 4.7 based on 83 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours/week
Starts Mar 15 (15 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor John McGready, PhD, MS
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

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What people are saying

easy to understand

Easy to understand, explains normally difficult concepts very well, engaging project quizzes This is a well structured content.

Excellent course, very succinct and easy to understand, the professor is fantastic!

I will definitely recommend this course to everyone in healthcare I enjoyed this course, great professor, easy to understand.

Simple and easy to understand.

hopefully will help me grow in my career Affordable, easy to understand, applicable and interactive course.

This course is a perfect stepping stone for understanding statistics in public health research It is very easy to understand.

This course is well-structured and easy to understand.

Very useful, very easy to understand The lectures are clear and well-organized.

The lectures were easy to understand and very practical.

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recommend this course

I would highly recommend this course if you want to further your statistics and understand scientific and public health literature rather than just take the numbers for granted.

I would recommend this course to anyone looking to start learning about public health statistics.

public health

I was handling the basic statistical analysis of few projects in public health eye-care.

I will recommend "Summary Statistics in Public Health' for you!

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very useful

thanks Indeed an eye opening experience Not only informative, this course is very useful in routine clinical practice.

Being able to understand differences regarding numbers of standard deviations, odds ratios, relative risks, incidence rates, and incidence rate ratios is very useful in my work --- and this course fit the bill for presenting the information straightforwardly and clearly without the professor making assumptions about my previous knowledge.

Many thanks!Very useful, practical and easy to learn!

The use of various types of examples was very useful in being able to apply very complex mathematical calculations in understanding outcomes and conclusions.

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dr. mcgready

Dr. McGready is so clear and concise.

I will definitely look for additional classes taught by Dr. McGready.

EXCELLENT COURSE FOR BEGINNER one of the best course to start with statistics, the quiz is tricky I would recommend it for the beginners This was an AMAZING course, largely due to Dr. McGready!

Dr. McGready is an awesome teacher.

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additional examples

The use of the Additional Examples videos helps to solidify the application of the concepts.

I love that there are additional examples available.

The content is amazing, additional examples at the end of each lection are such an asset.

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real world

Prof. John is incredible and he gives lots of examples with real world data (and real world problems) this makes everything much easier to grasp!

Fantastic course with great additional real world examples.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Statistical Technician $39k

Assistant Statistical Research Specialist $60k

Statistical Support Specialist $63k

Statistical Programmer Trainee $63k

Senior Statistical Data Analyst (part time) $69k

Assistant Supervisor Statistical Programmer Analyst $71k

Statistical Programmer/ Clinical SAS Programmer Contractor $82k

Statistical Accounting Analyst $89k

Staff Statistical Analyst $97k

Quality Engineer - Statistical Evaluation and Validation Manager $97k

Senior Statistical/Clinical Programmer $98k

Associate Principal Statistical Programmer $161k

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Rating 4.7 based on 83 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours/week
Starts Mar 15 (15 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor John McGready, PhD, MS
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

Similar Courses

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