About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

At least 2 years of experience as a data analyst or technology professional

Approx. 4 months to complete

Suggested 4 hours/week

English

Subtitles: English

What you will learn

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    Analyze the various types and sources of healthcare data, including clinical, operational, claims, and patient generated data.

  • Check

    Compare and contrast common data models used in healthcare data systems.

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    Assess the quality of healthcare data and make appropriate interpretations of meaning according to data sources and intended uses.

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    Create a data dictionary to communicate the source and value of data.

Skills you will gain

Data Modelhealthcare terminologyhealthcare data
Learners taking this Specialization are
  • Data Analysts
  • Program Managers
  • Pharmacists
  • Scientists
  • Data Scientists

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

At least 2 years of experience as a data analyst or technology professional

Approx. 4 months to complete

Suggested 4 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Healthcare Data Literacy

4.7
14 ratings
4 reviews
Course2

Healthcare Data Models

4.1
9 ratings
5 reviews
Course3

Healthcare Data Quality and Governance

4.5
6 ratings
1 reviews
Course4

Analytical Solutions to Common Healthcare Problems

Instructors

Avatar

Brian Paciotti

Healthcare Data Scientist
Research IT
Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

About University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Each course was designed to take an average learner one-month to complete, so four months in total.

  • This Specialization expects that you come in with some data analysis skills already, as we will not be teaching how to analyze data in any specific language. We are helping to build your healthcare data literacy.

  • There is no required order, but we do have a recommended order to complete the Specialization.

  • This Specialization is not eligible for university credit.

More questions? Visit the Learner Help Center.