Summary Statistics in Public Health
Master fundamental statistical methodologies and analytical techniques for comprehensive interpretation of public health data and research findings.
Master fundamental statistical methodologies and analytical techniques for comprehensive interpretation of public health data and research findings.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Biostatistics in Public Health Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(1,890 ratings)
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Instructors:
English
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What you'll learn
Calculate and interpret continuous data measures
Analyze binary and time-to-event data
Master normal distribution concepts
Create and interpret data visualizations
Apply statistical methods to public health research
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course introduces statistical methods essential for public health research and analysis. Students learn to calculate and interpret various statistical measures, including continuous data, binary data, and time-to-event data. The curriculum covers normal distribution, data visualization, sample size considerations, and practical applications through real-world public health examples.
The Role of Statistics in Public Health Research
Module 1 · 1 Hours to complete
Continuous Data Measures
Module 2 · 3 Hours to complete
The Normal Distribution
Module 3 · 2 Hours to complete
Binary Data
Module 4 · 2 Hours to complete
Dealing with the Element of Time
Module 5 · 2 Hours to complete
Course Project
Module 6 · 1 Hours to complete
Fee Structure
Instructor
Leading Expert in Biostatistics and Public Health Education
Dr. John McGready is an Associate Scientist in Biostatistics at Johns Hopkins University, where he has dedicated his career to advancing statistical education and collaborative research in public health. He serves as the primary instructor for "Statistical Reasoning in Public Health I and II," both on campus and online, and teaches "Statistical Methods in Public Health III." Dr. McGready is also a co-creator of intensive data analysis workshops at the School’s Summer Institute of Epidemiology and Biostatistics. His research interests encompass statistical education, small sample properties of estimation methods, and the application of advanced semi-parametric smoothing techniques to health data.
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4.8 course rating
1,890 ratings
Frequently asked questions
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