In this module, you will learn about the fundamentals of healthcare data. The module begins with an overview of key data types, including electronic health records (EHRs), claims, registries, and clinical research data, and how they support decision-making and analytics across healthcare settings. You will explore healthcare data standards and classification systems, such as ICD, CPT, HL7, and FHIR, which ensure interoperability across systems. Through real-world examples, you will see how healthcare data flows from hospitals and clinics to research databases, enabling clinical, operational, and analytical insights. The module concludes with a discussion on how structured, standardized, and well-managed data contributes to improved patient care, efficient healthcare operations, and effective evidence-based decision-making.

In this module, you will learn how to safeguard sensitive healthcare data. The module begins with an exploration of privacy, security, and compliance requirements, emphasizing the importance of ethical data handling and patient protection. You will examine global regulations, including HIPAA and GDPR, and understand their impact on healthcare operations. The module introduces practical data protection strategies such as encryption, anonymization, and access control, illustrated through real-world examples of data breaches and prevention measures. Through hands-on labs, you will apply these principles to securely manage healthcare data, maintain regulatory compliance, and build trust and accountability in healthcare analytics and decision-making.

In this module, you will learn the technical skills needed to collect, organize, and prepare healthcare data for analysis. The module begins with importing data from multiple sources and building relational databases using Excel and SQL. You will practice essential data management techniques, including validation, cleaning, transformation, and standardization, to ensure data consistency and quality. Through real-world exercises, you will learn how to convert raw, inconsistent healthcare datasets into structured, reliable formats. By the end of this module, you will be able to prepare data that supports accurate reporting and evidence-based decision-making in healthcare.

This module consolidates the knowledge and skills acquired throughout the course, guiding learners through a comprehensive, hands-on healthcare data analytics project. You will apply your understanding of healthcare data sources, privacy regulations, and data management techniques to solve a real-world healthcare analytics challenge. You will work with authentic healthcare datasets, demonstrating your ability to collect, clean, integrate, and analyze data while maintaining HIPAA compliance and ensuring data quality standards. Through structured problem-solving, you will demonstrate your competence in using Excel and SQL to generate meaningful insights from healthcare data, preparing yourself for entry-level roles in healthcare analytics.