Data Analytics in Health Informatics
( 25 Modules )

Module #1
Introduction to Health Informatics
Overview of health informatics, importance of data analytics in healthcare

Module #2
Healthcare Data Sources
Types of healthcare data, electronic health records (EHRs), claims data, surveys

Module #3
Data Preprocessing in Healthcare
Data cleaning, data transformation, data quality assessment

Module #4
Descriptive Analytics in Healthcare
Summary statistics, data visualization, exploratory data analysis

Module #5
Inferential Statistics in Healthcare
Hypothesis testing, confidence intervals, p-values

Module #6
Regression Analysis in Healthcare
Simple and multiple regression, logistic regression, model evaluation

Module #7
Machine Learning Fundamentals
Supervised and unsupervised learning, model types, evaluation metrics

Module #8
Machine Learning in Healthcare
Applications of machine learning in healthcare, predictive modeling

Module #9
Data Mining in Healthcare
Pattern recognition, decision trees, clustering, association rule mining

Module #10
Text Analytics in Healthcare
Text preprocessing, sentiment analysis, topic modeling

Module #11
Network Analysis in Healthcare
Social network analysis, network visualization, centrality measures

Module #12
Spatial Analytics in Healthcare
Geographic information systems (GIS), spatial analysis, disease mapping

Module #13
Time Series Analysis in Healthcare
Time series components, forecasting, seasonal decomposition

Module #14
Big Data Analytics in Healthcare
Hadoop, Spark, NoSQL databases, big data analytics tools

Module #15
Data Visualization in Healthcare
Data visualization principles, tools, and best practices

Module #16
Healthcare Analytics Case Studies
Real-world applications of data analytics in healthcare, success stories

Module #17
Ethical Considerations in Healthcare Analytics
Data privacy, security, and ethics in healthcare analytics

Module #18
Healthcare Analytics Tools and Technologies
Overview of healthcare analytics software, platforms, and vendors

Module #19
Clinical Decision Support Systems (CDSS)
CDSS types, applications, and evaluation

Module #20
Population Health Analytics
Population health management, risk stratification, and predictive analytics

Module #21
Value-Based Care Analytics
Value-based reimbursement, cost analysis, and quality measurement

Module #22
Healthcare Policy and Regulatory Environment
Healthcare policy, regulations, and standards impacting data analytics

Module #23
Interoperability and Data Standards
Healthcare data standards, interoperability, and data exchange

Module #24
Data Governance in Healthcare
Data governance principles, frameworks, and best practices

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Analytics in Health Informatics career

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Data Analytics in Health Informatics ( 25 Modules )

Data Analytics in Health Informatics
( 25 Modules )