Healthcare It Decoded - Data Visualization Using R

R Charts Edition

What you'll learn

Understand the End to End Data Analysis Workflow

Create different charts using various Healthcare datasets

Demonstrate knowledge of creating simple charts like Bar, Scatter, Line Charts using Healthcare Data

Demonstrate knowledge of creating complex charts like Sankey Chart using Healthcare Data

Requirements

No specific experience required.

Description

Are you Interested in learning how to create some basics using R programming and Healthcare data? Yes, then look no further. This course has been designed considering various parameters. I combine my experience of over twenty years in Health IT and more than ten 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 ReportsAt present I have explained 41 Charts using RBar Chart | Stacked Bar Chart | Stacked Bar Chart percent | Grouped Bar Chart | Horizontal Bar Chart Pie Chart | Trellis Chart | Basic Scatter Plot | Scatter Plot with Trend Line | Scatter Plot & Multiple Trend LineScatter Plot with different shapes | Jitter Plot | Bubble Chart | Scatter plot & Ellipse | Scatter vs Hexbin Violin Plot | Beeswarm Plot | Density Plot | Histogram vs Density | 2D Density Plot | Box Plot | Box with Jitter ECDF Plot (Empirical CDF) | Ridgeline Plot | Bean Plot | Raincloud Plot | QQ Plot (Quantile-Quantile Plot) Tornado Chart | Basic Heatmap | Interactive Heatmap | Geographical Heatmap | Calendar Heatmap |Correlation Heatmap | Line Chart | Multiple Line Chart | Line Chart + Animation | Area Chart | Stacked Area Chart | Step Chart | Sankey Chart | Tree Map |Healthcare Datasets to create the above charts.CDC Wonder Dataset around Cancer.Hospital Readmissions DataMeasles DataChronic Disease Indicators from CDCCOVID CasesHeart Failure DataProstate Cancer Data**Course Image cover has been designed using assets from Freepik website.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 R Studio - Cloud Interface

Section 2: Hospital Patient Journey

Lecture 3 Appointment to Registration

Lecture 4 Insurance Eligibility

Lecture 5 Point of Care OPD

Lecture 6 Point of Care IPD

Lecture 7 Medical Transcription & Coding

Lecture 8 Admissions & Financial Counseling

Lecture 9 Overview of Codes & Standards

Lecture 10 Back Office

Section 3: Data Visualization - The Journey

Lecture 11 Understanding the Source Systems

Lecture 12 Extract the Data

Lecture 13 Transform the Data

Lecture 14 The Logical Data Model

Lecture 15 Load the Data

Lecture 16 Insights & Foresights

Lecture 17 A Quick Recap

Section 4: Code and Data

Lecture 18 Code and Data for All Sections

Section 5: Basics of R

Lecture 19 R Basics - Math Operators

Lecture 20 R Basics - Relational Operators

Lecture 21 R Basics - Logical Operators

Lecture 22 R Basics - Assignment Operators

Lecture 23 R Basics - Data Types

Lecture 24 R Basics - Vectors

Lecture 25 R Basics - Lists

Lecture 26 R Basics - Matrix

Lecture 27 R Basics - Array

Lecture 28 R Basics - Data Frame

Lecture 29 R Basics - Loops

Lecture 30 R Basics - Some Functions Part 1

Lecture 31 R Basics - Some Functions Part 2

Lecture 32 R Basics - Decision Statements

Section 6: Bar Charts

Lecture 33 About The Data - CDC Wonder

Lecture 34 What's a Bar Chart

Lecture 35 Bar Chart Part 1 - Read the file

Lecture 36 Bar Chart Part 2 - Create Basic Plot

Lecture 37 Bar Chart Part 3 - Sort Data

Lecture 38 Stacked Bar Chart

Lecture 39 100% Stacked Bar Chart

Lecture 40 Multiple Bar Chart

Lecture 41 Grouped Bar Chart

Lecture 42 Horizontal Bar Chart

Lecture 43 Pie Chart

Section 7: Scatter Plots

Lecture 44 About data - Prostate Cancer

Lecture 45 Read the Data - Prostate Cancer

Lecture 46 Clean the file - Prostate Cancer

Lecture 47 Scatter Plot - Basic

Lecture 48 Scatter Plot - With Trend Line

Lecture 49 Scatter Plot - With Multiple Trend Lines

Lecture 50 Scatter Plot - Trend Line + Label

Lecture 51 Scatter Plot - With different shapes

Lecture 52 Jitter Plot

Lecture 53 Bubble Plot

Lecture 54 Scatter Plot - With Ellipse

Section 8: Density Charts

Lecture 55 Hexbin Chart

Lecture 56 Hexbin Chart - Using bins

Lecture 57 Violin Chart

Lecture 58 Beeswarm Chart

Lecture 59 Density Chart - Basic

Lecture 60 Density Chart - Variation

Lecture 61 Density Chart - Stacked

Lecture 62 Histogram

Lecture 63 2d Density Plot

Lecture 64 About the Data - Heart Failure Rate

Lecture 65 Box Plot + Jitter

Lecture 66 ECDF - Empirical Cumulative Distribution Function

Lecture 67 Ridgeline plot

Lecture 68 Beanplot

Lecture 69 Raincloud Plot

Lecture 70 QQ Plot - Part 1

Lecture 71 QQ Plot - Part 2

Lecture 72 QQ Plot - Part 3

Lecture 73 QQ Plot - Part 4

Lecture 74 About the Data - CABG Readmissions

Lecture 75 Tornado Chart - Part 1

Lecture 76 Tornado Chart - Part 2

Lecture 77 Tornado Chart - Part 3

Section 9: Heatmap Plots

Lecture 78 About the Data - Measles

Lecture 79 Heatmap - Measles Data

Lecture 80 About the Data - COVID Cases

Lecture 81 Heatmap COVID Data Part 1

Lecture 82 Heatmap COVID Data Part 2

Lecture 83 Interactive Heatmap COVID Data

Lecture 84 Georgraphical Heat Map

Lecture 85 Calendar Heat Map

Lecture 86 Correlation Matrix - Part 1

Lecture 87 Correlation Matrix - Part 2

Section 10: Line & Area Charts

Lecture 88 About the Data - Gapminder

Lecture 89 Basic Line Chart

Lecture 90 Multiple Line Chart

Lecture 91 Line Chart with Animation

Lecture 92 Basic Area Chart

Lecture 93 Multiple Area Chart

Lecture 94 Step Chart

Section 11: Network Charts

Lecture 95 Tree Map Part 1

Lecture 96 Tree Map - Part 2

Lecture 97 Tree Map - Part 3

Lecture 98 Sankey Chart - Part 1

Lecture 99 Sankey Chart - Part 2

Lecture 100 Sankey Chart - Part 3

Lecture 101 Sankey Chart - Part 4

Section 12: Bonus Section

Lecture 102 Bonus Lecture

Beginners curious about create basic Charts using R programming and Healthcare Data,Health IT Professionals,Healthcare/Hospital Management Professionals