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Health Information Literacy for Data Analytics Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Launch Your Data Science Career in Healthcare with this Health Information Literacy for Data Analytics Specialization offered by Coursera in partnership with UC Davis. Transfer your data analysis skills to the complex world of healthcare

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. 

Programme Structure

Courses included:

  • Healthcare Data Literacy
  • Healthcare Data Models
  • Healthcare Data Quality and Governance
  • Analytical Solutions to Common Healthcare Problems

Key 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
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic 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
  • This specialization is aimed at data and technology professionals with no prior healthcare experience who want to develop skills in working with healthcare data, including understanding data sources, preparing data for analysis, and generating insights to improve patient care.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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