Text Marketing Analytics Specialization

Complex marketing data can be difficult to analyze because of their many dimensions. It is often difficult to extract qualitative insights from large, unstructured data sets. Marketing datasets often include relational, connected, and involve networks. This specialization focuses on advanced advertising and marketing analytics using three advanced methods to solve these problems: text classification and text topic modeling. Each area requires a deep dive into the most popular computer science methods that are used to solve these problems using Python.

This specialization is available for academic credit through CU Boulder's Master of Science degree in Data Science (MSDS) on the Coursera platform. The MS-DS is an interdisciplinary degree which brings together faculty from CU Boulder's departments in Applied Mathematics, Computer Science and Information Science. The MS-DS is open to individuals with a wide range of undergraduate and/or professional experience in information science, computer science, statistics, and mathematics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.