STAT 175 - Statistics and Data Science of Networks Learning Course

[STAT 175 - Statistics and Data Science of Networks Learning Course] STAT 175 - Statistics and Data Science of Networks STAT 175 explores statistical methods and data science techniques used to analyze complex networks, such as social networks, biological networks, and communication networks. The course covers topics such as network structure and dynamics, network visualization, community detection, and network modeling. Emphasis is placed on understanding the principles of network analysis, identifying key network properties, and applying statistical models to study network behavior and interactions. Through theoretical foundations and practical applications, students learn how to extract meaningful insights from network data, predict network evolution, and analyze patterns of connectivity. STAT 175 prepares students for careers in network analysis, computational biology, social media analytics, and research involving large-scale network datasets.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.