Healthcare IT Decoded - Data Analytics

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.