Healthcare Data Acquisition and Management


Learn to navigate complex data structures and efficiently retrieve the data needed to answer a question or solve a problem. Explore the types and sources of healthcare data, along with methods for selecting, preparing, querying and transforming healthcare data. Through video lectures, assignments and discussions, clinical operations analysts will examine the range of data sources and the strategies, tools and methods for data preparation and optimizing data quality. By the end of this course, students will understand the new models of healthcare data organization and analytics, such as clinical registries and query health. In addition, you will learn the basics of SQL programming or improve your SQL skills, within the concepts of other course topics.

Learning Outcomes

  • Analyze the various types and sources of healthcare data, including clinical, operational and patient-generated data
  • Compare and contrast common data models used in healthcare data systems
  • Assess the quality of healthcare data and make appropriate interpretations of meaning according to existing quality frameworks and standards
  • Design data models that integrate patient data from multiple sources to create comprehensive, patient-centered views of individual and population data
  • Harmonize data from multiple sources and prepare integrated data files for analysis

Skills You Will Gain

  • Healthcare data models and representations
  • Data selection, preprocessing and querying
  • Data harmonization
  • Data quality assessment
  • SQL Programming

Note: For students starting the Healthcare Analytics Certificate Program, you may take Healthcare Data and Acquisition and Management as your first course if Introduction to Healthcare Analytics is not offered in the quarter you begin the program.

Academic Units
Section Number
Instruction Method
Online class

Section Notes

Course begins July 6th and ends September 14th.

This is not a self-paced course. Students will progress through the course together. Course modules are released weekly, where lessons typically load on Wednesdays and are due the following Tuesdays. You can log in and work on courses at any time within that week to view lectures and complete assignments. The previous week's lesson will remain available for the duration of the course. If you enroll after the course start date, you will need to contact the instructor regarding missed lessons. 

This is the last time this course will be offered. If you do not complete this course this quarter, there will not be an option to transfer to a later quarter.

Refund Deadline: July 19, 2023.  Refunds and/or enrollment transfers will not be approved after this date.

Enrollment Policies

View complete enrollment policy information including details on withdrawals and transfers.

Refund Deadline: July 19, 2023.  Refunds and/or enrollment transfers will not be approved after this date.

Technical Requirements

To ensure your success in this online course, please review our technical requirements page. Additional, program specific software and analytical tool requirements may be found in the FAQs.


Early Enroll Discount

Enroll 14 days before the course start date to save $50 on the course fee.

Info Session Discount

Attendees of UC Davis Continuing and Professional Education Information Sessions may be eligible for $100 discount on a class by entering the Coupon Code provided at the Information Session.  Contact UC Davis Continuing and Professional Education Student Services office, at (800) 752-0881, if you have questions about this discount.