Global Certificate in Health Promotion Data Analysis Methods
-- ViewingNowThe Global Certificate in Health Promotion Data Analysis Methods is a comprehensive course designed to equip learners with essential skills in health promotion data analysis. This certificate program highlights the importance of data-driven decision-making in health promotion and provides learners with the necessary tools and techniques to analyze and interpret health promotion data effectively.
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โข Introduction to Health Promotion Data Analysis - Understanding the importance of data analysis in health promotion, types of data, and data sources. โข Data Collection Methods - Surveillance, surveys, interviews, focus groups, and observational studies. โข Data Cleaning and Preparation - Techniques for cleaning, organizing, and preparing data for analysis. โข Descriptive Statistics - Measures of central tendency, dispersion, and association, and data visualization methods. โข Inferential Statistics - Hypothesis testing, p-values, confidence intervals, and statistical significance. โข Regression Analysis - Linear, logistic, and multiple regression analysis, and interpreting regression results. โข Data Analysis Software - Overview of popular data analysis tools, such as SPSS, SAS, and R. โข Data Interpretation and Reporting - Best practices for interpreting and communicating data findings, including data presentation and visualization techniques. โข Ethical Considerations in Data Analysis - Data privacy, security, and informed consent.
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