1.1: The six characteristics (6Vs)
1.2: The evolution of big data
1.3: How big data is captured
1.4: The purpose, importance and use of big data analytics
2.1: Types of big data
2.2: Data preparation and cleaning techniques for data mining
2.3: Data mining techniques
2.4: Big data infrastructure
2.5: Data science and data analytics
2.6: Data analytics techniques
3.1: Artificial intelligence and machine learning
4.1: Legal issues
4.2: Ethical issues
5.1: Environment
5.2: Society