University of Colorado Boulder
Network Analysis for Marketing Analytics
University of Colorado Boulder

Network Analysis for Marketing Analytics

This course is part of Text Marketing Analytics Specialization

Taught in English

Chris J. Vargo
Scott Bradley

Instructors: Chris J. Vargo

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

10 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

10 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Text Marketing Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

In this module, we will learn the key concepts in network analysis and the key terminology, including semantic and social networks. We will also survey common network analyses in marketing.

What's included

2 videos3 readings1 discussion prompt

In this module, we will learn how networks are prepared and the common data formats that represent networks. We will learn the differences between different network calculations and how networks are presented visually.

What's included

2 videos1 reading1 quiz

In this module, we will learn how to parse tweet JSON, extract mentions and text, load connections into edge lists, and visualize the network in Google Colab.

What's included

1 video2 readings1 quiz1 programming assignment

In this module, we will learn how to parse tweet JSON, process text into features, load connections into edge lists, and visualize the network in Google Colab.

What's included

1 video2 readings1 quiz1 programming assignment

Instructors

Chris J. Vargo
University of Colorado Boulder
7 Courses64,026 learners

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