Data Modeling: Concepts and Applications

This lecture covers the fundamentals of data modeling, including the organization of data elements and their relationships. Topics include different data model types, such as relational and document models, and their practical applications in databases. The instructor explains how data models standardize the representation of real-world entities and discusses the importance of structured data for efficient data processing. Additionally, the lecture delves into the use of SQL for data manipulation and introduces Pandas, a Python library similar to SQL but with additional functional programming elements. Students are guided through examples of flat models, CSV formats, and Unix command line operations for data processing.