- Introduction
- EHR Data Security & Analysis Overview
- Data Privacy and Security From a Patient, Provider and Data User Perspective
- Patient Perspective Data Security
- Value of Medical Record Data to Hackers
- Value of Medical Record Data to Hackers - Examples
- Common HIPAA Violations
- Encryption
- Key Industry Regulations
- Key Industry Regulations - HIPAA vs. HITECH vs. GDPR vs. DPA
- Shift to Electronic Health Records (EHR)
- What is PHI?
- Covered Entities
- Business Associates (BA)
- Business Associate Agreement/Addendum (BAA)
- Securing PHI Data
- HIPAA Compliant Cloud Practices
- Minimum Necessary Standard
- HIPAA's Two Ways to De-Identify a Dataset
- Importance of EDA
- Reasons EDA is Important
- Value Distributions
- The Importance of Demographic Analysis In Healthcare
- Definition of Data Analytics
- Data Classification
- The 3 V's of Big Data
- Analytics Evolution
- The Analytics Problem Approach
- AWS Big Data and Analytics - Collect
- AWS Big Data and Analytics - Storage
- AWS Big Data and Analytics - Process and Analyze
- Key Objective of Machine Learning
- Arthur Samuel Machine Learning Definition
- Tom Mitchell Machine Learning Formal Definition
- Industry Application
- Terminology
- Terminology Examples
- Machine Learning Phases
- Machine Learning Types
- Supervised Learning Definition
- Supervised Learning Process
- Classification Vs. Regression
- Supervised Learning Algorithms
- Supervised Training Process
- Business Analytics
- Training Summary
- Unsupervised Learning Introduction
- Unsupervised Learning Definition
- Pattern Types
- Clustering
- Anomaly Detection
- Association Discovery
- Clustering Example
- Unsupervised Training Process
- Unsupervised Learning Business Analytics
- Unsupervised Learning Dataset Summary
- Unsupervised Learning Overview