Data Analytics in Healthcare
( 25 Modules )

Module #1
Introduction to Healthcare Analytics
Overview of the healthcare industry, importance of data analytics, and course objectives

Module #2
Healthcare Data Sources
Types of healthcare data, sources, and characteristics (Claims, EHR, Wearables, etc.)

Module #3
Healthcare Data Governance
Data quality, data security, and HIPAA compliance

Module #4
Data Preprocessing in Healthcare
Data cleaning, data transformation, and data integration

Module #5
Exploratory Data Analysis in Healthcare
Descriptive statistics, data visualization, and data summarization

Module #6
Data Visualization in Healthcare
Best practices for visualizing healthcare data, tools, and techniques

Module #7
Supervised Learning in Healthcare
Regression, classification, and model evaluation metrics

Module #8
Unsupervised Learning in Healthcare
Clustering, dimensionality reduction, and anomaly detection

Module #9
Predictive Modeling in Healthcare
Building and evaluating predictive models for healthcare outcomes

Module #10
Natural Language Processing in Healthcare
Text analytics, sentiment analysis, and clinical text analysis

Module #11
Machine Learning in Healthcare
Deep learning, neural networks, and applications in healthcare

Module #12
Healthcare Analytics Tools and Technologies
Overview of popular tools and technologies (R, Python, Tableau, etc.)

Module #13
Electronic Health Records (EHRs) Analytics
Extracting insights from EHRs, clinical decision support systems

Module #14
Claims Data Analytics
Analyzing claims data, identifying trends, and predicting healthcare costs

Module #15
Population Health Analytics
Defining and measuring population health, identifying health disparities

Module #16
Quality Measurement and Improvement
Defining quality metrics, identifying areas for improvement

Module #17
Healthcare Operations Analytics
Optimizing hospital operations, supply chain management, and resource allocation

Module #18
Clinical Decision Support Systems (CDSSs)
Developing and implementing CDSSs, clinical decision support rules

Module #19
Personalized Medicine and Genomics
Applying genomics to personalized medicine, precision healthcare

Module #20
Mobile Health (mHealth) and Wearables
Analyzing data from mobile devices and wearables

Module #21
Healthcare Policy and Ethics
Ethical considerations, policy implications, and regulations

Module #22
Case Studies in Healthcare Analytics
Real-world examples and applications of healthcare analytics

Module #23
Healthcare Analytics in Emerging Markets
Challenges and opportunities in applying healthcare analytics in emerging markets

Module #24
Future of Healthcare Analytics
Trends, innovations, and predictions for the future of healthcare analytics

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

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Data Analytics in Healthcare ( 25 Modules )

Data Analytics in Healthcare
( 25 Modules )