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Professional Certification Program

Healthcare Analytics with Generative AI

Build the Data, Statistics, AI, and Career Skills Needed for the Future of Healthcare

Healthcare is no longer driven by clinical knowledge alone. Across hospitals, NGOs, public health agencies, research institutes, and global development organisations, decisions are increasingly shaped by data, evidence, dashboards, statistics, and artificial intelligence.

Why This Course Matters

The Skills Gap

Many science and healthcare graduates leave school with strong theoretical knowledge but limited practical exposure to the tools and analytical skills now required in the modern job market.

Employer Expectations

Employers and global organisations increasingly want people who can:

  • Interpret health data & analyse patient outcomes
  • Track disease patterns & build dashboards
  • Understand public health statistics
  • Use AI responsibly for research and reporting
  • Write analytical reports & support evidence-based decisions

Our Solution

This course was created to close that gap — combining public health statistics, Excel, SQL, Power BI, R, and Generative AI to help you build practical, globally relevant healthcare analytics skills.

Who This Program Is For

Science Graduates

Microbiology, Biochemistry, Anatomy, Physiology, Biology, Zoology, Botany, and other life science disciplines

Healthcare Professionals

Nurses, Doctors, Dentists, Optometrists, Pharmacists, Medical Laboratory Scientists, Health Information Officers

Public Health & NGO Staff

Public health workers, NGO staff, M&E officers, hospital administrators, researchers, and policy analysts

Career Transitioners

Students and graduates who want to move into healthcare analytics, epidemiology support, or AI-powered health data work

What You Will Learn

Problem Framing

Frame healthcare and public health problems into clear analytical questions

Public Health Statistics

Understand healthcare statistics, variation, bias, uncertainty, indicators, and outcome measures

Data Cleaning & Analysis

Clean, validate, and analyse healthcare datasets using Excel and SQL

Dashboard Building

Use Power BI to build interactive healthcare dashboards

R for Healthcare Stats

Use R for healthcare statistics, public health analysis, and reproducible reporting

Generative AI Tools

Use ChatGPT, Claude, Qwen, and Gamma for research support, report writing, and productivity

Healthcare Analysis

Analyse patient outcomes, disease trends, service utilization, and operational performance

Portfolio Development

Develop a project portfolio that demonstrates real healthcare analytics competence

Paper Publication

Prepare a publishable paper from a healthcare analytics project

Tools Covered

Core Analytics & Statistics

  • Public Health Statistics
  • Microsoft Excel
  • SQL for Health Data
  • Power BI for Dashboards
  • R for Healthcare Statistics

Generative AI Tools

  • ChatGPT
  • Claude
  • Qwen
  • Gamma
These tools will not be taught as isolated software. They will be taught as part of a complete healthcare analytics workflow: from problem framing to data preparation, analysis, dashboard reporting, interpretation, communication, portfolio building, and publication.

Class Format

The program is delivered through live weekend classes to support working professionals, students, and busy learners. Learners will receive structured teaching, guided demonstrations, practical assignments, project support, feedback, and mentorship.

Live Instructor-Led Weekend Classes Hands-On Projects Mentorship Support

Program Subscription Options

Single Package

₦250,000 / one-time

Best for learners who want strong healthcare analytics skills, project portfolio development, and publication support.

  • Public Health Statistics
  • Excel for Healthcare Analytics
  • SQL for Health Data Querying
  • Power BI for Healthcare Dashboards
  • R for Healthcare Statistics and Analysis
  • ChatGPT, Claude, Qwen, Gamma Training
  • Healthcare Analytics Project Portfolio
  • Paper Publication Support

What Makes This Program Different

This is not just a tool-based course. It is a healthcare analytics certification designed to teach learners how to think, analyse, interpret, defend, and communicate healthcare data responsibly.

Healthcare Problem Framing

Learn to translate clinical and public health challenges into clear analytical questions

Ethics & Data Quality

Understand patient privacy, data governance, and ethical safeguards in healthcare analytics

Real-World Projects

Work with authentic healthcare datasets, not just practice exercises

Decision Defense

Learn to interpret, communicate, and defend your analytical findings to stakeholders

Portfolio Development

Build a professional portfolio that demonstrates practical competence to employers

Paper Publication

Receive support to prepare a publishable healthcare analytics paper

The goal is not just to teach Excel, SQL, Power BI, R, or AI tools. The goal is to help learners become professionals who can use these tools to solve meaningful healthcare and public health problems.

Career Opportunities This Course Can Prepare You For

Organisations

  • Hospitals and healthcare organisations
  • Public health agencies
  • NGOs and donor-funded projects
  • Health-tech companies
  • Research institutes
  • Pharmaceutical and clinical research organisations
  • Government health departments
  • Universities and academic research centres

Role Pathways

  • Healthcare Data Analyst
  • Public Health Analyst
  • Hospital Operations Analyst
  • Health Research Analyst
  • Epidemiology Data Assistant
  • Monitoring and Evaluation Officer
  • Health Information Analyst
  • Power BI Healthcare Dashboard Developer

Global Opportunities

Graduates can also position themselves for roles in international development organisations, WHO, UN agencies, global health initiatives, and remote healthcare analytics positions worldwide.

Certification and Portfolio

Learners will work toward a professional healthcare analytics portfolio that demonstrates practical competence. The certification emphasizes demonstrated competence, not attendance alone.

  • Healthcare dashboard project
  • Public health statistics project
  • Patient outcome or service utilization analysis
  • Disease trend or epidemiological analysis
  • SQL-based health data query project
  • R-based healthcare statistics project
  • AI-assisted healthcare report or presentation
  • Publishable healthcare analytics paper
Portfolio outputs are designed to be shared with employers, supervisors, clients, or academic reviewers as evidence of your healthcare analytics competence.

Register for Healthcare Analytics with Generative AI

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