Overview

Healthcare generates vast amounts of data every day from electronic health records and lab systems to imaging, devices, and claims. If you’re looking to build analytics skills for healthcare, or eager to understand and work with healthcare data more effectively, this course is for you. In this course, you’ll explore the foundational landscape of healthcare data and understand what makes it distinct from other domains. You’ll learn how data flows through clinical and administrative systems, the formats and standards that shape it, and the challenges posed by fragmentation, interoperability issues, and data quality concerns. You’ll discover why privacy, security, and regulatory frameworks like HIPAA and GDPR are essential when handling patient information. You’ll also work through the core steps of the healthcare data analytics workflow, including identifying data sources, cleaning and validating datasets, exploring patterns, and preparing data for downstream analytical tasks. The key features of this course include hands-on labs using real-world healthcare datasets and interactive exercises that simulate common analytics scenarios. By the end of the course, you’ll have the foundational skills needed to interpret, prepare, and analyze healthcare data responsibly and effectively.

Syllabus

Foundations of Healthcare Data

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.

Data Privacy and Security in Healthcare

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.

Preparing Healthcare Data for Analysis

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.

Final Project, Exam, and Wrap-Up

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.