MIS 306 - Text Data Analytics

The past decade has witnessed an explosion of digital text-based data produced by social media platforms, websites, emails, and the digitization of historical archives. These new data sources hold enormous potential to address a range of problems in various fields. Quantitative text analytics techniques allow us to derive insights from these data. This course explores methods for pre-processing, analyzing, and visualizing text-based data. Students will use current software tools to perform data analytics.

Credit Hours: 3

Prerequisite Courses: BAN 280 or STT 215
Additional Restrictions/Requirements: Admission to Cameron School of Business or declared BS Information Technology major.
Course Repeatability: Course may not be repeated. Maximum Repeatable Hours: 3
Major Restriction BS Business Administration or BS Information Technology

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