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Introduction to Social Media Analytics

Emory University via Coursera


Social media not only provides marketers with a means of communicating with their customers, but also a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this session exposes learners to the analytic methods that can be used to convert social media data to marketing insights. In Introduction to Social Media Analytics, learners will be exposed to both the benefits and limitations of relying on social media data compared to traditional methods of marketing research. Partnering with a leading social media listening platform, this course provides learners with the foundational skills of social media listening including the creation of monitors and common social media metrics. Moving beyond social media listening, this course shows learners how social media data can be used to provide insights into market structure and consumers’ perceptions of the brand. Learners will have the opportunity to assess data and discern how to "listen" to the data by watching video lectures and completing activities, practice quizzes, discussion boards, and peer assessments.


  • Basics of Social Media Listening
    • This module will address how to evaluate social media messaging and data.
  • Opinion Science and Dynamics
    • This module will discuss how to evaluate and judge social media contributions. You will be able to better determine what data is useful or not.
  • Crimson Hexagon Walkthrough
    • *Faculty has gotten permission from Crimson Hexagon to partner up for this course. This module will address how to apply aspects of social media monitoring to business decisions.
  • Applying Analytics to Social Media Activity
    • This module will teach learners how to examine multiple social media metrics to monitor and identify deviations from typical social media activity.

Taught by

David Schweidel


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5.0 rating, based on 1 reviews

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  • Anonymous

    Anonymous completed this course.

    it is very good course. one can learn a lot from this course.
    analysis of data is best explained in this video.

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