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Coursera 4.3 (9)
Overview
This Health Information Literacy for Data Analytics Specialization offered by Coursera in partnership with UC Davis is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis.
You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare.
This Specialization will prepare you to be able to transform raw healthcare data into actionable information.
Applied Learning Project
Learners will examine various healthcare data sets to determine the various types of data, discover the many sources and contributors of data, analyze the quality and validity of the data and use healthcare data sets to make recommendations to improve patient care.
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Visit programme websiteProgramme Structure
Courses included:
- Healthcare Data Literacy
- Healthcare Data Models
- Healthcare Data Quality and Governance
- Analytical Solutions to Common Healthcare Problems
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Public Health Health Informatics View 106 other Short Courses in Public Health in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- At least 2 years of experience as a data analyst or technology professional
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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