About this Course

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Intermediate Level
Approx. 12 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 12 hours to complete
English
Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Solving the Business Problems

2 hours to complete
8 videos (Total 61 min), 1 reading, 1 quiz
8 videos
Module 1 Introduction3m
Provider Profiling10m
How to Make Fairer Comparisons Using Risk Adjustment6m
How Risk Adjustment is Performed8m
Patient Safety: Measuring Adverse Events7m
Super-Utilizers of Health Resources10m
Fraud Detection10m
1 reading
A Note From UC Davis10m
1 practice exercise
Module 1 Quiz30m
Week
2

Week 2

2 hours to complete

Algorithms and "Groupers"

2 hours to complete
7 videos (Total 51 min)
7 videos
Clinical Identification Algorithms (CIA)9m
HEDIS and AHRQ Quality Measures7m
Analytical Groupers6m
Open Source Groupers - Grouping Diagnoses and Procedures7m
Open Source Groupers - Comorbidity, Patient Risk, and Drugs8m
Commercial Groupers10m
1 practice exercise
Module 2 Quiz30m
Week
3

Week 3

3 hours to complete

ETL (Extract, Transform, and Load)

3 hours to complete
6 videos (Total 49 min)
6 videos
Analytical Processes and Planning10m
Data Mining and Predictive Modeling - Part 16m
Data Mining and Predictive Modeling - Part 26m
Extracting Data for Analysis10m
Transforming Data for Analytical Structures11m
1 practice exercise
Module 3 Quiz30m
Week
4

Week 4

5 hours to complete

From Data to Knowledge

5 hours to complete
7 videos (Total 49 min), 1 reading, 2 quizzes
7 videos
Solving Analytical Problems with Risk Stratification8m
Risk Stratification: Variables, Groupers, Predictors8m
Risk Stratification: Model Creation/Evaluation and Deployment of Strata9m
Medicare Claims Data - Source and Documentation8m
Final Tips to Help Understand and Interpret Healthcare Data8m
Course Summary2m
1 reading
Welcome to Peer Review Assignments!10m
1 practice exercise
Module 4 Quiz30m

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About the Health Information Literacy for Data Analytics Specialization

This Specialization 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....
Health Information Literacy for Data Analytics

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, 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. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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