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Network Analysis for Marketing Analytics
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.
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.
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Rating | Not enough ratings |
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Length | 5 weeks |
Starts | Jun 26 (45 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructors | Chris J. Vargo, Scott Bradley |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Starts | Jun 26 (45 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructors | Chris J. Vargo, Scott Bradley |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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