In this module, you will delve into Relational Algebra, the cornerstone of database query languages, emphasizing its principles and operations. You will learn to construct relational algebra operations and interpret their significance in manipulating data. Additionally, you will acquire skills in extracting networks and relational structures from data using relational algebra, enabling you to effectively query and analyze complex datasets.

In this module, you will explore Network Visualization, focusing on fundamental principles and techniques in information visualization. You will learn to construct and communicate networks using graphical elements and effective color usage. You will be able to understand human visual perception and its implications for visualization design. Additionally, you will develop skills in reducing visual complexity and creating impactful multivariate visualizations, essential for conveying insights from complex network data.

In this module, you will explore Network diffusion and Interventions, focusing on how network structures influence the adoption of innovations and behaviors. You will learn about network interventions, including identifying opinion leaders, segmentation strategies, and intervention techniques like induction and alteration. Additionally, you will develop insights into leveraging network dynamics to effectively intervene and influence behaviors and ideas within complex social networks.