Health Data Analytics
( 25 Modules )

Module #1
Introduction to Health Data Analytics
Overview of health data analytics, importance, and applications

Module #2
Healthcare Data Sources
Types of healthcare data, data collection methods, and data quality issues

Module #3
Data Preprocessing in Healthcare
Data cleaning, data transformation, and data reduction techniques

Module #4
Descriptive Statistics in Healthcare
Measures of central tendency, variability, and data visualization

Module #5
Inferential Statistics in Healthcare
Hypothesis testing, confidence intervals, and regression analysis

Module #6
Data Visualization in Healthcare
Effective visualization techniques for healthcare data

Module #7
introduction to Machine Learning in Healthcare
Supervised, unsupervised, and reinforcement learning concepts

Module #8
Supervised Learning in Healthcare
Regression, classification, and logistic regression

Module #9
Unsupervised Learning in Healthcare
Clustering, dimensionality reduction, and anomaly detection

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

Module #11
Predictive Modeling in Healthcare
Predictive modeling concepts, model evaluation, and model selection

Module #12
Disease Surveillance and Outbreak Detection
Real-time surveillance, outbreak detection, and epidemiological analysis

Module #13
Clinical Decision Support Systems
CDSS concepts, architecture, and applications

Module #14
Healthcare Data Mining
Pattern evaluation, rule-based systems, and decision trees

Module #15
Big Data Analytics in Healthcare
Hadoop, Spark, and NoSQL databases in healthcare

Module #16
Cloud Computing in Healthcare
Cloud-based healthcare analytics, security, and compliance

Module #17
Healthcare Analytics Tools and Techniques
Tableau, Power BI, R, Python, and SQL in healthcare analytics

Module #18
Healthcare Data Governance and Ethics
Data governance, data sharing, and ethical considerations

Module #19
Healthcare Analytics in Practice
Real-world case studies and applications of healthcare analytics

Module #20
Healthcare Analytics in Public Health
Public health surveillance, disease modeling, and health policy analysis

Module #21
Healthcare Analytics in Clinical Research
Clinical trial design, data analysis, and result interpretation

Module #22
Healthcare Analytics in Population Health
Population health management, risk stratification, and care coordination

Module #23
Healthcare Analytics in Value-Based Care
Value-based care models, payment reform, and quality measurement

Module #24
Healthcare Analytics in Precision Medicine
Genomic data analysis, personalized medicine, and pharmacogenomics

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

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Health Data Analytics ( 25 Modules )

Health Data Analytics
( 25 Modules )