Introduction
  • Introduction
Data Analytics Overview
  • 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
Amazon Kinesis
  • Amazon Kinesis Overview
  • Kinesis Three Services
  • Kinesis Analytics Summary & Scenarios
  • Time Series Analytics to Kibana
  • Mobile App to RedShift & QuickSight
  • IoT Real-Time Monitoring
  • Kinesis Analytics Benefits
  • Kinesis Analytics Application
  • Kinesis Analytics Application Inputs, SQL, & Outputs
  • Kinesis Analytics SQL Editor
  • SQL Query Templates
  • Continuous Filter
  • Aggregate Function Tumbling Time
  • Multi-Step Application
  • Query Structure
  • Application Pump - Create Stream
  • Application Pump - Create Pump
  • Continuous Queries
  • Query Windows
  • Tumbling, Sliding, & Custom Windows
Amazon Elastic MapReduce (EMR)
  • Introduction to Amazon EMR
  • EMR Use Cases
  • EMR Ecosystem
  • EMR Node Types
  • EMR Resizable Clusters
  • EMR Storage Connectivity
  • EMR Networking
  • EMR Networking - Bastion Host
  • EMR Networking - VPC
  • Launching Cluster
  • Create Cluster - Quick Options
Machine Learning
  • 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 Training Summary
Model Training
  • Splitting Your Dataset
  • Training a Model
  • Important Practices While Training Your Model
  • Important Practices While Training Your Model Pt. 2
  • Important Practices While Training Your Model Pt. 3