Ementorhub

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

Skills you'll gain

Unstructured Data

Statistical Methods

Data Visualization

Natural Language Processing

Text Mining

Marketing Analytics

Data Science

Semantic Web

Social Media

Data Structures

Data Visualization Software

Network Analysis

Data Processing

Analytics

There are 4 modules in this course

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Network Analysis Data Structures and Calculations

Preparing and Visualizing Social Networks

Preparing and Visualizing Semantic Networks