Introduction

The Big Data in Public Health training course is designed to equip healthcare professionals, researchers, policymakers, epidemiologists, and data analysts with advanced skills in health data analytics, artificial intelligence (AI), machine learning, predictive modeling, digital epidemiology, health informatics, and population health intelligence. In today’s data-driven healthcare ecosystem, public health organizations increasingly rely on real-time data integration, cloud computing, electronic health records (EHR), IoT-enabled health systems, GIS mapping, disease surveillance systems, and predictive analytics to improve decision-making, optimize healthcare delivery, and strengthen emergency response systems. Big Data in Public Health Training Course provides participants with practical knowledge and hands-on exposure to modern big data technologies transforming global healthcare systems.

The program emphasizes the strategic application of data science, AI-powered healthcare analytics, health information systems, pandemic intelligence, precision public health, bioinformatics, and data visualization for solving complex public health challenges. Participants will learn how to analyze massive health datasets, identify disease patterns, improve population health outcomes, support evidence-based policymaking, and enhance healthcare innovation through advanced analytics tools. Through real-world case studies, interactive workshops, and applied projects, learners will gain industry-relevant competencies aligned with current trends in digital health transformation, smart healthcare systems, healthcare cybersecurity, and global health analytics.

Programme Curriculum

Big Data in Public Health Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the fundamentals of Big Data Analytics in Public Health.
Develop expertise in AI-driven healthcare analytics and predictive modeling.
Learn applications of Machine Learning in Epidemiology and disease forecasting.
Analyze Electronic Health Records (EHR) for population health insights.
Apply Data Visualization and Dashboarding for public health reporting.
Explore Digital Epidemiology and Real-Time Disease Surveillance Systems.
Utilize Cloud Computing and Healthcare Data Platforms for scalable analytics.
Implement GIS Mapping and Spatial Health Analytics for outbreak management.
Understand Healthcare Cybersecurity and Data Privacy Compliance frameworks.
Leverage IoT and Wearable Health Data for preventive healthcare strategies.
Apply Predictive Analytics for Pandemic Preparedness and Response.
Design data-driven strategies for Precision Public Health and Smart Healthcare.
Build competency in Health Informatics, Bioinformatics, and Data Governance.

Target Audience

Public Health Professionals
Epidemiologists and Disease Surveillance Officers
Healthcare Data Analysts
Medical Researchers and Scientists
Health Informatics Specialists
Government Health Officials and Policymakers
Hospital and Healthcare Administrators
AI, Data Science, and Digital Health Professionals

Course Modules

Module 1: Introduction to Big Data in Public Health

Fundamentals of Big Data Ecosystems
Public Health Data Sources and Data Integration
Structured vs Unstructured Healthcare Data
Big Data Architecture in Healthcare Systems
Emerging Trends in Digital Public Health
Case Study: COVID-19 global health data tracking and analytics systems.

Module 2: Health Informatics and Electronic Health Records

Electronic Health Records (EHR) Analytics
Healthcare Information Systems
Clinical Decision Support Systems
Health Data Standardization and Interoperability
Data Quality Management in Healthcare
Case Study: Implementation of EHR analytics in hospital networks.

Module 3: Artificial Intelligence and Machine Learning in Public Health

Machine Learning Algorithms for Healthcare
Predictive Analytics for Disease Forecasting
AI Applications in Population Health
Deep Learning for Medical Data Analysis
AI Ethics in Healthcare
Case Study: AI-powered early detection of infectious disease outbreaks.

Module 4: Epidemiology and Disease Surveillance Analytics

Digital Epidemiology Techniques
Real-Time Disease Surveillance Systems
Pandemic Intelligence Platforms
Outbreak Prediction Models
Public Health Risk Assessment
Case Study: Ebola outbreak monitoring using predictive analytics.

Module 5: Data Visualization and GIS Mapping

Healthcare Data Visualization Tools
Interactive Dashboards and Reporting
GIS Mapping for Public Health
Spatial Analytics for Disease Distribution
Data Storytelling for Decision-Making
Case Study: GIS-based malaria hotspot mapping.

Module 6: Cloud Computing and Big Data Technologies

Cloud Platforms for Healthcare Analytics
Hadoop and Spark in Healthcare
Real-Time Data Processing Systems
Healthcare Data Warehousing
Scalable Health Data Infrastructure
Case Study: Cloud-based national health information systems.

Module 7: Healthcare Cybersecurity and Data Governance

Healthcare Data Privacy Regulations
HIPAA and GDPR Compliance
Cybersecurity Risk Management
Ethical Use of Health Data
Data Governance Frameworks
Case Study: Analysis of healthcare ransomware attacks and prevention strategies.

Module 8: Precision Public Health and Future Innovations

Precision Public Health Strategies
Genomics and Bioinformatics Analytics
IoT and Wearable Health Technologies
Smart Healthcare and Digital Transformation
Future Trends in Public Health Analytics
Case Study: Wearable device analytics for chronic disease prevention.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Health data analytics Population health trends Predictive modeling Epidemiological insights

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000