Data Mining for Healthcare Analytics

The proliferation of data in the post-EHR era creates opportunities for large-scale data analysis to discover meaningful patterns and trends. Explore the application of data mining techniques for purposes of big data analytics using administrative and clinical systems data. Topics include an overview of the data mining process, data mining standards and output protocols, and common techniques used in mining healthcare data. Also covered are visual representation methods that increase understanding of complex data.

This is not a self-paced course.  Students will progress through the course together.  Lessons will be posted one week at a time.  The previous week's lesson will remain available for the duration of the course.  Students who enroll after the start date of the course will have to contact the instructor regarding missed lessons.  This class will conduct one-mandatory synchronous Adobe Connect session towards the end of the course, please plan accordingly.

This class will conduct one-mandatory synchronous Adobe Connect session towards the end of the course, please plan accordingly.

Academic Units
3
CEUs
0
Section Number
193HCA204
Instruction Method
Online class

Section Course Materials

193HCA204 Course Reader

Mandatory
This course utilizes a course reader available in either digital or hard copy. Prices are subject to change based on article availability and publisher fees; typically the reader for this course has been approximately $150.00. Details will be shared one week prior to the first day of class.

Don't Let Health Care Bankrupt America: Strategies for Financial Survival

ISBN
1493570277
Mandatory

Section Notes

Course begins January 15 and ends March 25. This class will conduct one mandatory Saturday synchronous video session toward the end of the course, so please plan accordingly.

Enrollment Policies

Click here to view complete enrollment policy information including details on withdrawals and transfers.

Prerequisites

Candidates for the certificate are expected to have prior professional experience in a healthcare setting and familiarity with statistics.

Technical Requirements

To ensure your success in this online course, please review our technical requirements page. In addition, the following software applications will be used for this course: 1) SAS® OnDemand for Academics: Enterprise Miner (TM), available for use on any system that supports the Sun Microsystems Java Runtime Environment (JRE). Typically this includes UNIX, Linux and various Microsoft Windows operating systems, such as Windows 7, XP and Windows Vista. Software does not support Mac OS or International IP addresses. 2) MS Access 3) MS Excel 4) Adobe Connect Online Additional, program specific software and analytical tool requirements may be found in the FAQs.

Discounts

Group Discount

Groups of three or more, enrolled at the same time with a single payment method may receive a 10% discount on each enrollment.  Contact UC Davis Continuing and Professional Education Student Services office to enroll your group: (530) 757-8777.

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.

CAAA Member Discount

Current members of the Cal Aggie Alumni Association and other UC alumni associations receive $50 off the course fee. If you don't have your association discount code contact UC Davis Continuing and Professional Education Student Services at (800) 752-0881.

Capitol Corridor Rider

Capitol Corridor riders are eligible for a one-time $100 discount on a UC Davis Continuing and Professional Education course (some exceptions apply). The Discount Code is available on the UC Davis Continuing and Professional Education course page on the Capitol Corridor’s onboard Wifi system.