Chapter 1: Database fundamentals
- Module A: General database terminology
- Module B: Relational and non-relational databases
- Module C: Data normalization
Chapter 2: Data design, collection, and programming
- Module A: Data design, file formats, and data collection
- Module B: Database programming languages
- Module C: Collecting/extracting data
Chapter 3: Manipulating data and managing data quality
- Module A: Manipulating data
- Module B: Managing data quality
- Module C: Optimizing queries
Chapter 4: Descriptive statistical methods and analysis techniques
- Module A: Descriptive statistical methods
- Module B: Techniques and types of analysis
- Module C: Inferential statistical methods, tests, and variables
Chapter 5: Visualizing data with charts, reports, and dashboards
- Module A: Data visualization basics
- Module B: Considering audience, data sources, and delivery
- Module C: Report and dashboard design components
Chapter 6: Data governance, quality control, and master data
management
- Module A: Data governance
- Module B: Quality control
- Module C: Master data management