RM4235: Consumer and Design Insights: Data-Driven Decision Making

3 CreditsGoal 10 - People/EnvironmentGoal 6 - Hum: Arts/Lit/PhilOnline Available

This course will introduce the learners to text mining and text manipulation basics to generate consumer and design insights from big data available on the internet. The course covers theoretical understanding of texts for both human and machine processing, instructions for text handling using python, and an overview of the NLTK framework for manipulating text. The learners will be exposed to basic natural language processing methods and common techniques for text mining and interpretation (e.g., common text search expressions, text cleaning techniques).

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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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