Udemy

Getting Started with Healthcare Data Analytics

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  • 114 Students
  • Updated 9/2025
4.5
(22 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 54 Minute(s)
Language
English
Taught by
Daisy Yu
Rating
4.5
(22 Ratings)
2 views

Course Overview

Getting Started with Healthcare Data Analytics

Learn key healthcare datasets, methods and real-world applications.

Healthcare is one of the fastest-growing fields in data analytics, and organizations are searching for professionals who can transform complex information into meaningful insights. With the widespread use of electronic health records, insurance claims, clinical registries, and other digital health systems, the ability to understand and analyze healthcare data has become a highly valuable skill.

This course is designed to give you the essential knowledge and tools to begin working in this exciting area. You will learn how healthcare data is structured, explore the major types of healthcare-specific datasets, and apply core methods for data preparation, analysis, and visualization. In addition to technical skills, the course emphasizes how to communicate insights clearly, which is a critical ability when presenting results to clinicians, administrators, or policymakers. We will also discuss issues of privacy, ethics, and fairness in healthcare, helping you understand the responsibilities that come with working in healthcare data analytics.

What makes this course unique is its strong focus on career preparation. You will receive practical job hunting tips tailored to healthcare data analytics, including how to build relevant skills and experience, strengthen your personal brand, and answer healthcare-related interview questions.

By the end of the course, you will understand the essentials of healthcare data analytics and feel more confident about taking the next step toward a career in this high-demand field.

Course Content

  • 7 section(s)
  • 21 lecture(s)
  • Section 1 Lecture 1: Introduction to Healthcare Data Analytics
  • Section 2 Lecture 2: Structure of Healthcare Data
  • Section 3 Lecture 3: Exploratory Data Analysis & Data Visualization
  • Section 4 Lecture 4: Statistical Methods in Healthcare Data Analytics
  • Section 5 Lecture 5: Communication of Insights
  • Section 6 Lecture 6: Privacy & Ethics in Healthcare Data Analytics
  • Section 7 Lecture 7: Career Paths & Job Hunting Tips

What You’ll Learn

  • Identify the structure and applications of healthcare data., Apply core statistical and modeling methods to healthcare problems., Understand privacy, ethics, and fairness in healthcare data analytics., Explore career opportunities and job search strategies in healthcare data analytics


Reviews

  • b
    beaulieu.erica@gmail.com
    5.0

    Yes, I appreciate the real-world applications. You lose a half star because you spelled "Harvard" wrong. You spelled it like a true bostonian.

  • M
    Madhura Deolalkar
    4.0

    Helped me get a clear idea of the basic data analytics field. Helps me decide if I want to go ahead in this field. Very clear, simple language that's easy to understand.

  • S
    Siya Gupta
    3.0

    could be more modern in terms of future trends

  • K
    Kayla Pyrtle
    5.0

    Great introduction into Healthcare Analytics so far!

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