Analytical Solutions to Common Healthcare Problems
By Coursera
on Coursera
· Data Science
About This Course
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.
Instructor
Brian Paciotti
Frequently Asked Questions
How much does Analytical Solutions to Common Healthcare Problems cost?
Visit the Analytical Solutions to Common Healthcare Problems course page for current pricing and available discounts.
Who teaches Analytical Solutions to Common Healthcare Problems?
Analytical Solutions to Common Healthcare Problems is taught by Brian Paciotti, University of California, Davis.
What skill level is Analytical Solutions to Common Healthcare Problems for?
This course is designed for all levels learners.