Free Download Healthcare IT Decoded - Data Analytics
Published 5/2024
Created by Harish Rijhwani
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 176 Lectures ( 10h 4m ) | Size: 5.1 GB
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
Requirements:
No specific experience required.
Description:
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 OfficeThe Data Visualization Journey - Moving from Source System to creating ReportsUnderstand Descriptive, Diagnostic, Predictive and Prescriptive Analytics At present I have explained below AlgorithmsSimple 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 HeteroskedasticityBreusch-Pagan & White TestConfusion MatrixNominal vs Ordinal DataAUC & ROC CurveACF & PACF in Time SeriesDifferencing in Time Series Healthcare Datasets to create the algorithms.I have listed a the healthcare datasets used belowHealth Insurance DataCovid CasesAsthma DataObesity Member Enrollment Pharma SalesProstate CancerBreast CancerMaternal 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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