Public Health Data Analysis Techniques
( 24 Modules )

Module #1
Introduction to Public Health Data Analysis
Overview of public health data analysis, importance, and applications

Module #2
Data Sources in Public Health
Exploring data sources, including surveys, surveillance systems, and administrative records

Module #3
Data Management and Cleaning
Best practices for managing and cleaning public health data

Module #4
Descriptive Statistics in Public Health
Using descriptive statistics to summarize and describe public health data

Module #5
Data Visualization in Public Health
Using data visualization to communicate public health data insights

Module #6
Inferential Statistics in Public Health
Using inferential statistics to make inferences about public health populations

Module #7
Hypothesis Testing in Public Health
Using hypothesis testing to answer research questions in public health

Module #8
Confounding and Interaction in Public Health
Understanding confounding and interaction in public health data analysis

Module #9
Introduction to Regression Analysis in Public Health
Using regression analysis to model relationships in public health data

Module #10
Multiple Regression in Public Health
Using multiple regression to model complex relationships in public health data

Module #11
Logistic Regression in Public Health
Using logistic regression to model binary outcomes in public health data

Module #12
Survival Analysis in Public Health
Using survival analysis to model time-to-event outcomes in public health data

Module #13
Introduction to Machine Learning in Public Health
Overview of machine learning concepts and applications in public health

Module #14
Supervised Learning in Public Health
Using supervised learning to predict outcomes in public health data

Module #15
Unsupervised Learning in Public Health
Using unsupervised learning to identify patterns in public health data

Module #16
Geospatial Analysis in Public Health
Using geospatial analysis to understand the spatial distribution of public health outcomes

Module #17
Time Series Analysis in Public Health
Using time series analysis to understand trends and patterns in public health data

Module #18
Communicating Public Health Data Insights
Effective communication of public health data insights to stakeholders

Module #19
Ethical Considerations in Public Health Data Analysis
Ethical considerations in collecting, analyzing, and interpreting public health data

Module #20
Data Quality and Validation in Public Health
Ensuring data quality and validation in public health data analysis

Module #21
Missing Data in Public Health
Dealing with missing data in public health data analysis

Module #22
Big Data and Public Health
Leveraging big data sources and methods in public health data analysis

Module #23
Electronic Health Records (EHRs) in Public Health
Using EHRs for public health data analysis and surveillance

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Public Health Data Analysis Techniques career

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Public Health Data Analysis Techniques ( 24 Modules )

Public Health Data Analysis Techniques
( 24 Modules )