Summary Statistics in Public Health
Instructor: John McGready, PhD, MS
Beginner Level • 2 weeks at 10 hours a week • Flexible Schedule
What You'll Learn
- Calculate continuous data measures
- Interpret data visualizations
- Analyze binary data
- Analyze time to event data
Skills You'll Gain
Sample Size Determination
Public Health
Statistical Methods
Descriptive Statistics
Clinical Trials
Statistical Visualization
Probability Distribution
Quantitative Research
Medical Science and Research
Statistical Analysis
Epidemiology
Biostatistics
Data Literacy
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile
Outcomes
-
Learn new concepts from industry experts
-
Gain a foundational understanding of a subject or tool
-
Develop job-relevant skills with hands-on projects
-
Earn a shareable career certificate
There are 6 modules in this course
Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.