Data Analysis for Healthcare Professionals (Beginner Level)

Name: Data Analysis for Healthcare Professionals (Beginner Level)
Rating: 4.5 (25 reviews)

Essential Data Skills for Healthcare Professionals – Easy, Practical, and Useful

Created byMarine Sargsyan

Last updated 4/2026

English

What you'll learn

What data is and why it's useful in healthcare.
How to look at data and find useful information.
Simple tools to help you understand and explain healthcare data.
How to use data to improve care for your patients.

Course content

3 sections • 17 lectures • 1h 2m total length

Welcome to the course!1:07
Welcome to the Course!
Data Analysis for Healthcare Professionals – Beginner Level
Hi and welcome! I’m so glad you’re here.
This course is designed especially for healthcare professionals who are new to data analysis. You don’t need any experience with statistics or technology—just a curiosity to learn and a passion for improving patient care.
Here’s a quick look at what we’ll explore together:
You’ll start by understanding what data really is in a healthcare setting, using examples like blood pressure and lab results.
Then we’ll look at different types of data, how to read and explore it without complicated math, and how to create simple charts and graphs using Excel or Google Sheets.
You’ll also learn how to clean up messy data, fix small errors, and find clear insights.
We’ll finish with real-life mini projects that show how nurses, doctors, and health workers use data to track outcomes, plus a gentle reminder about keeping patient data private and safe.
By the end of the course, you’ll be more confident in using healthcare data in your daily work—and maybe even enjoy it!
Let’s start!
Understanding Healthcare Data3:32
Explore what constitutes healthcare data, including demographic, clinical, administrative, and patient-reported data, and learn how data informs evidence-based decisions and tracks treatment outcomes for individuals and populations.
Types of Healthcare Data3:51
How is Healthcare Data Collected and Managed?4:55
Discover how healthcare data is collected from EHRs, medical devices, and automated sources, and how data management ensures storage, cleaning, protection, and secure access under HIPAA and GDPR.
Structured vs. Unstructured Data in Healthcare4:50
Real-World Uses of Healthcare Data3:04
MCQs

What Is Data Analysis in Healthcare?2:55
Explore what data analysis means in healthcare and learn to describe, summarize, and visualize data with basic statistics, charts, and visuals to improve patient and staff outcomes.
Types of Variables – Understanding Numbers in Healthcare4:16
Descriptive Statistics – What the Data Is Telling You3:53
Explore descriptive statistics to uncover the story behind health data by using mean, median, mode, range, and standard deviation, and learn how outliers and spread affect clinical insights.
Basic Statistics in Excel — Mean, Median, Mode, Range, Standard Deviation2:29
Analyze Your Own Data in Excel

Describing Healthcare Data – Making Sense of Numbers and Patterns4:00
Describe healthcare data using descriptive metrics such as mean, median, and interquartile range; identify outliers and visualize trends with box plots, line charts, and histograms.
Comparing Groups and Testing Hypotheses in Healthcare4:30
How to Interpret Research Results: 3 Critical Questions1:20
Making Sense of Statistical Results in Clinical Practice4:54
Learn how effect size complements p-values to judge clinical relevance, with mean difference, risk difference, absolute risk reduction, and Cohen’s d, and interpret confidence intervals and odds ratios in practice.
Correlation and Association in Healthcare Data4:43
Regression Analysis in Healthcare5:51
Putting It All Together – A Case Study in Healthcare Data Analysis2:40
Final Quiz

Requirements

There are no special requirements or experience needed to take this course.

Description

This beginner-level course is designed to introduce healthcare professionals to the essential concepts of data analysis in a simple and practical way. Whether you're a doctor, nurse, pharmacist, medical student, or public health practitioner, this course will help you gain the confidence and skills needed to work with healthcare data in your daily practice.

In today’s healthcare systems, data is everywhere, from patient records and lab results to vaccination rates and hospital audits. Understanding this data can help you make better clinical decisions, improve patient care, track outcomes, and even identify public health trends. However, many healthcare professionals feel unprepared or overwhelmed when it comes to analysing data. That’s where this course comes in.

This course is designed to be supportive, practical, and completely beginner-friendly. It focuses on real-life healthcare examples that you can relate to and apply immediately in your daily practice. By the end of the course, you will feel confident using healthcare data to make smarter, evidence-based decisions in your work, ultimately enhancing patient care and healthcare outcomes.

No math or programming experience is required, and you will receive guidance throughout the process.

Join us and start using data to make informed, evidence-based decisions in your work for the benefit of your patients!

Who this course is for:

Doctors, nurses, and allied health professionals who want to use data to improve patient care
Medical and healthcare students looking to gain useful skills for clinical practice or research
Clinicians involved in quality improvement or patient safety projects
Anyone working in healthcare settings who needs to read, interpret, or share data

Data Analysis for Healthcare Professionals (Beginner Level)

What you'll learn

Explore related topics

Course content

Module 1: Introduction to Healthcare Data6 lectures • 21min

Module 2: Introduction to Basic Data Analysis Techniques4 lectures • 14min

Module 3: Types of Analysis Used in Healthcare Settings7 lectures • 28min

Requirements

Description

Who this course is for: