Supervised Text Classification for Marketing Analytics

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Last updated on February 16, 2025 10:31 am

Learn how to use supervised deep learning for text classification tasks in marketing data. Join our course and earn academic credit towards a Master of Science in Data Science degree. No application process required. Explore the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

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Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning 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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    Supervised Text Classification for Marketing Analytics
    Supervised Text Classification for Marketing Analytics
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