Introduction to Data for Healthcare Professionals

Welcome to Introduction to Data for Healthcare Professionals.

Healthcare is becoming increasingly data-driven. Whether you work in clinical care, administration, public health, research, or management, understanding healthcare data is now an essential skill. Every patient interaction generates valuable information that can be used to improve patient outcomes, support clinical decision-making, monitor performance, and shape healthcare policy.

This course has been designed specifically for healthcare professionals who want to build confidence in working with data, regardless of their previous experience. You do not need a technical background to complete this course. We begin with the fundamentals before gradually introducing more practical concepts and real-world healthcare applications.

Throughout the course, you will learn how healthcare data is collected, stored, processed, analysed and presented. You will also explore the importance of clinical coding, data quality, ethical responsibilities, and the role data plays in improving patient care and organisational performance.

By the end of this course, you will have a solid understanding of the healthcare data lifecycle and the confidence to interpret, manage and communicate data effectively within your own professional role.

What You’ll Learn

During this course you will:

• Understand the different types of healthcare data.
• Learn how healthcare data is collected and managed.
• Explore common clinical coding systems and terminology.
• Develop good data quality and data entry practices.
• Process and organise healthcare data using Microsoft Excel.
• Perform basic data analysis techniques.
• Identify trends and patterns within healthcare datasets.
• Understand the ethical and legal responsibilities surrounding healthcare data.
• Create clear and effective data visualisations.
• Apply everything you have learned in a practical final project.

Course Structure

• Module 1: Introduction to Health Data
  • Discover what healthcare data is, why it matters, and how it supports patient care, healthcare services, and decision-making.
• Module 2: Types of Health Data
  • Explore structured and unstructured data, quantitative and qualitative data, clinical records, administrative data, laboratory results, imaging, and more.
• Module 3: Clinical Terminology and Coding
  • Learn the foundations of clinical terminology and healthcare coding systems such as ICD-10, SNOMED CT, and OPCS.
• Module 4: Data Input and Collection Methods
  • Understand where healthcare data comes from, how it is collected, and best practices for ensuring accurate, reliable information.
• Module 5: Data Processing in Excel
  • Develop practical Excel skills for cleaning, organising, validating and preparing healthcare datasets for analysis.
• Module 6 – Data Analysis Techniques
  • Learn introductory analytical techniques, including descriptive statistics, filtering, summarising and interpreting healthcare data.
• Module 7: Identifying Patterns
  • Discover how to recognise trends, anomalies and meaningful patterns that support clinical and operational decision-making.
• Module 8: Ethical Considerations
  • Understand confidentiality, information governance, GDPR, patient privacy, consent, and responsible use of healthcare data.
• Module 9: Data Visualisations
  • Learn how to communicate insights effectively using charts, graphs and dashboards that support evidence-based decision-making.
• Module 10: Final Project
  • Bring together everything you have learned by completing a practical healthcare data project that demonstrates your new skills.

Who This Course Is For

This course is suitable for:

• Healthcare Assistants
• Nurses
• Allied Health Professionals
• Medical Students
• Administrators
• Clinical Coders
• Healthcare Managers
• Public Health Professionals
• Researchers
• Anyone interested in healthcare data

No previous experience in data analysis or programming is required.