Advanced Public Health Data Analytics
( 30 Modules )

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

Module #2
Data Sources and Collection Methods
Exploring data sources, collection methods, and data quality issues in public health

Module #3
Data Preprocessing and Cleaning
Preprocessing, cleaning, and preparing public health data for analysis

Module #4
Descriptive Statistics and Data Visualization
Descriptive statistics, data visualization, and exploratory data analysis in public health

Module #5
Inferential Statistics and Hypothesis Testing
Inferential statistics, hypothesis testing, and confidence intervals in public health

Module #6
Regression Analysis in Public Health
Applying linear and logistic regression models to public health data

Module #7
Machine Learning in Public Health
Introduction to machine learning concepts and supervised learning methods

Module #8
Unsupervised Learning and Clustering
Unsupervised learning methods, clustering, and dimensionality reduction

Module #9
Natural Language Processing in Public Health
Applying NLP techniques to public health text data

Module #10
Spatial Analysis and Geographic Information Systems (GIS)
Analyzing spatial data and using GIS in public health

Module #11
Time Series Analysis and Forecasting
Analyzing and forecasting time series data in public health

Module #12
Survival Analysis in Public Health
Applying survival analysis to public health data

Module #13
Causal Inference and Interrupted Time Series Analysis
Causal inference methods and interrupted time series analysis in public health

Module #14
Big Data Analytics in Public Health
Handling and analyzing large-scale public health data sets

Module #15
Data Mining and Pattern Discovery
Data mining techniques and pattern discovery in public health data

Module #16
Public Health Surveillance and Outbreak Detection
Using data analytics for public health surveillance and outbreak detection

Module #17
Evaluating Public Health Interventions and Programs
Using data analytics to evaluate public health interventions and programs

Module #18
Data Communication and Visualization for Public Health Professionals
Effective data communication and visualization strategies for public health audiences

Module #19
Ethical Considerations in Public Health Data Analytics
Ethical considerations and best practices in public health data analytics

Module #20
Case Studies in Public Health Data Analytics
Real-world case studies and applications of public health data analytics

Module #21
Advanced Topics in Public Health Data Analytics
Emerging trends and advanced topics in public health data analytics

Module #22
Collaboration and Interdisciplinary Research in Public Health
Fostering collaboration and interdisciplinary research in public health data analytics

Module #23
Preparing for Certification in Public Health Data Analytics
Preparation and resources for certification exams in public health data analytics

Module #24
Career Development and Professional Opportunities
Career development and professional opportunities in public health data analytics

Module #25
Group Project:Applied Public Health Data Analytics
Applied group project in public health data analytics

Module #26
Final Project:Advanced Public Health Data Analytics
Individual final project in advanced public health data analytics

Module #27
Advanced R Programming for Public Health Data Analytics
Advanced R programming for public health data analytics

Module #28
Advanced Python Programming for Public Health Data Analytics
Advanced Python programming for public health data analytics

Module #29
Advanced SQL and Database Management
Advanced SQL and database management for public health data analytics

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced Public Health Data Analytics career

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Advanced Public Health Data Analytics ( 30 Modules )

Advanced Public Health Data Analytics
( 30 Modules )