Healthcare IT Decoded - Data Analytics
Healthcare IT Decoded - Data Analytics,Using Excel Real Statistics Add-In
What you'll learn
- Understand the End to End Data Analysis Workflow
- Understand basics or Excel Real Statistics Addin
- Apply different Machine Learning Algorithms using Excel Real Statistics AddIn
- Demonstrate knowledge of applying Algorithms like Regression, KMeans using Healthcare Data
Are you Interested in learning how to apply some machine learning algorithms using Healthcare data and that too using Excel? Yes, then look no further.
This course has been designed considering various parameters. I combine my experience of twenty two years in Health IT and twelve years in teaching the same to students of various backgrounds (Technical as well as Non-Technical).
In this course you will learn the following:
Understand the Patient Journey via the Revenue Cycle Management Workflow - Front, Middle and Back Office
The Data Visualization Journey - Moving from Source System to creating Reports
Understand Descriptive, Diagnostic, Predictive and Prescriptive Analytics
At present I have explained below Algorithms
Simple Linear Regression | Multiple Linear Regression | Weighted Linear Regression |
Logistic Regression | Multinomial Regression |
Ordinal Regression |
KNN Classification | KMeans Clustering
Classic Time Series | ARIMA |
Some of the concepts key explained are listed below
Homoscedasticity vs Heteroskedasticity
Breusch-Pagan & White Test
Confusion Matrix
Nominal vs Ordinal Data
AUC & ROC Curve
ACF & PACF in Time Series
Differencing in Time Series
Healthcare Datasets to create the algorithms.
I have listed a the healthcare datasets used below
Health Insurance Data
Covid Cases
Asthma Data
Obesity
Member Enrollment
Pharma Sales
Prostate Cancer
Breast Cancer
Maternal Health Risk
**Course Image cover has been designed using assets from Freepik website.
Who this course is for:
- Beginners curious about create basic Analytics using Healthcare Data
- Health IT Professionals
- Healthcare/Hospital Management Professionals
- Professionals from a Non-Technical background who want to understand basics of Analytics
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