In today's data-driven world, the ability to visualize data effectively is a critical skill. This course provides an end-to-end mastery of Microsoft Power BI, the industry leader in self-service BI.

Participants will learn to connect to disparate data sources, clean and model data using Power Query, calculate advanced metrics using DAX, and design immersive, interactive dashboards that drive decision-making. The course emphasizes "Data Storytelling"—ensuring that every chart and graph serves a clear business purpose.

SPSS remains the gold standard for statistical analysis in social sciences, healthcare research, and market research due to its user-friendly, point-and-click interface. This course takes participants from the basics of data entry to advanced inferential statistics.

Students will learn how to properly structure a dataset, define variables, run statistical tests, and—crucially—how to interpret the extensive output tables to draw valid conclusions.

This hands-on course equips healthcare professionals and data analysts with the programming skills needed to manipulate, analyze, and visualize complex medical datasets. Using Python, the industry standard for data science, participants will learn to handle Electronic Health Records (EHR), automate reporting, and build predictive models to solve real-world clinical and operational challenges.

This course provides a foundational and practical understanding of quantitative methods used to analyze healthcare data. It bridges the gap between raw data and actionable insights, focusing on how statistical analysis, mathematical modeling, and operational research can improve patient outcomes, optimize resource allocation, and enhance organizational efficiency.

Students will move beyond basic reporting to understand the "why" and "how" of healthcare trends, utilizing modern analytical frameworks to solve complex problems in clinical and administrative settings.

The World Health Organization (WHO) has revolutionized medical coding with the 11th Revision of the International Classification of Diseases (ICD-11) and the new International Classification of Health Interventions (ICHI). This course guides participants through the paradigm shift from ICD-10 to ICD-11—moving from static codes to a dynamic, digital "Foundation" system.

Participants will master the new Post-Coordination (Cluster Coding) rules that allow for greater clinical precision and learn how ICHI provides a unified language for medical, surgical, and public health interventions.

Digital transformation is not just about digitizing paper records; it is a fundamental reimagining of how healthcare is delivered, managed, and reimbursed. This course explores how emerging technologies—such as IoMT, AI, and interoperability standards—are creating a "smart" healthcare ecosystem.

Participants will learn to lead change management initiatives, design patient-centric digital services, and navigate the complex regulatory landscapes that govern digital health.