1. Identify different types of data, their sources, and collection of data.
2. Discuss data governance, classification, and management practices, including data storage, integrity, security, and ethical considerations.
3. Understand the stages of data analytics (descriptive, diagnostic, predictive, and prescriptive) and their applications and implications.
4. Discuss Big Data, its characteristics, implications, and methods of collection and application.
5. Discuss database management, including database normalization, data warehousing, and the concepts of ETL (Extract, Transform, Load)
6. Understand various database management systems, including Relational Database Management Systems (RDBMS), NoSQL, Object Databases, and Graph Databases.