Viral YouTube videos or the proliferation of fake news are both the product of the ways social networks function. This course is meant to shed light on social networks—how they’re structured, how information travels, and the role of individuals in that network. Additionally, this course will show you how to analyze social networks using R and python.
You should take this course if:
You are a marketer or digital strategist who is looking to capture better insights of social networks.
You are a marketer or data insight professional who has not been formally trained in the concepts of social network analysis.
You are a marketer or consumer insight professional who is looking to learn the programming and statistics to better understand social networks.
Follow a Structured Curriculum
Introduction to python and R
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In this section, you’ll learn the concepts and measures of connection, such as homophily.
Measures of connection
Measures of distributions
In this section, you’ll learn the concepts and measures of distribution, such as centrality.
In this section, you’ll learn the concepts and measures of connection, such as cohesion.
Measures of segmentation
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