Analytical Solutions to Common Healthcare Problems
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.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
I Tested 10 AI-Powered APIs for Developers So You Don't Have To
Dev.to · Yury
The only AI tools you actually need as a developer
Dev.to · Samaresh Das
Why Blinkit’s Home Page Looks Different in Delhi vs Bangalore — The Engineering Behind It
Medium · AI
How AI is changing creative jobs… and what marketers and designers need to do about it
Medium · AI
🎓
Tutor Explanation
DeepCamp AI