Network analysis is a long-standing methodology used to understand the relationships between words and actors in the broader networks in which they exist. This course covers network analysis as it pertains to marketing data, specifically text datasets and social networks. Learners walk through a conceptual overview of network analysis and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project.

About this Course
Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Describe the concept of network analysis and related terminology
Apply network analysis to marketing data via a peer-graded project
Visualize a network based on centrality and other statistics via homework
Extract marketing insights from a network via a peer-graded project
Skills you will gain
- Python Programming
- Network Analysis
- Text Datasets
- Marketing Analytics
- Social Network
Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Master's degree
Syllabus - What you will learn from this course
Network Analysis Introduction and Terminology
Network Analysis Data Structures and Calculations
Preparing and Visualizing Social Networks
Preparing and Visualizing Semantic Networks
About the Text Marketing Analytics Specialization

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