RM4235: Data Driven Retail

3 CreditsField StudyOnline Available

This hands-on course is designed to introduce basic concepts and techniques for big data text analysis and apply them in retail context. Students learn the theoretical basis for natural language processing and text analysis and understand how various analysis methods are used to draw insights from unstructred text data. Students also learn the basics of Python and practice using the Python codes to analyze data such as word frequency analysis, sentiment analysis, semantic network analysis, topic modeling, and Concor

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A- Average (3.515)Most Common: A (55%)

This total also includes data from semesters with unknown instructors.

11 students
FDCBA
  • 3.33

    /5

    Recommend
  • 3.83

    /5

    Effort
  • 4.33

    /5

    Understanding
  • 3.33

    /5

    Interesting
  • 4.00

    /5

    Activities


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