1. Big Data Key Concepts

• Definition and Characteristics of Big Data
• Supervised and Unsupervised Machine Learning
• History of Big Data
• Pattern Identification
• Types of Analytics
• Data Type Characteristics
• Role of Hadoop

2. The Big Data Framework

• Key Capabilities
• Establishing a Big Data function
• Big Data Maturity Model  

3. Big Data Strategy

• How to Formulate a Big Data Strategy
• Business Drivers
• Gaining a Competitive Advantage

4. Big Data Architecture

• The Importance of Reference Architectures
• NIST Big Data Reference Architecture
• Hadoop Architecture
• System Orchestration
• Data, Application and Framework Providers
• Data Consumers
• Local and Distributed Storage & Processing
• Data Storage Systems
• Storage Mechanisms
• Analysis Architectures
• Function of Hadoop

5.  Big Data Algorithms

• Descriptive Statistics
• Classification
• Regression
• Clustering
• Correlation
• Skew and Standardisation
• Distributions
• Sampling & Bias
• Visualisation

6.  Big Data Processes

• Key Big Data Processes
• Tools and Techniques
• Problem Types
• Data Analysis
• Data Governance
• Data Management

7. Big Data Functions

• Centre or Excellence
• Big Data Team
• Big Data Lab
• Proof of Concepts
• Agile Methods
• Charging Models
• Roles & Responsibilities
• Critical Success Factors        

8.  Artificial Intelligence (AI)

• What is AI
• Measuring AI
• Cognitive Analytics
• Natural Language Processing (NLP)
• Knowledge Representation
• Automated Reasoning
• Machine Learning
• Deep Learning