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Analytical Solutions to Common Healthcare Problems

Health Information Literacy for Data Analytics,

In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data.
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Rating 5.0★ based on 2 ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Jun 26 (47 weeks ago)
Cost $49
From University of California, Davis via Coursera
Instructor Brian Paciotti
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

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What people are saying

great introduction to data

Excellent material and a great introduction to data analytics!

suggest the health informatics

Very good, although I would suggest the Health Informatics as a starting course

excellent material

informatics as

starting course

analytics ! very good

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Rating 5.0★ based on 2 ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Jun 26 (47 weeks ago)
Cost $49
From University of California, Davis via Coursera
Instructor Brian Paciotti
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science
Tags Life Sciences Data Science Data Analysis Health Informatics

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