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Analytical Solutions to Common Healthcare Problems

This course is a part of Health Information Literacy for Data Analytics, a 4-course Specialization series from Coursera.

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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University of California, Davis

Rating Not enough ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Apr 22 (4 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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Coursera

&

University of California, Davis

Rating Not enough ratings
Length 5 weeks
Effort 4 weeks of study, 2-5 hours/week
Starts Apr 22 (4 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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