Predictive Analytics: Case Studies for Marketing & Retail

Predictive Analytics    |    Intermediate
  • 9 videos | 55m 32s
  • Includes Assessment
  • Earns a Badge
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Artificial intelligence (AI) can play a part in many marketing tasks, and if used skillfully, can have a significant impact on revenues and profits. Every action on social media is recorded and AI is well-suited to process this large volume of data. AI can also be used to help with demand forecasting, product recommendations, and fraud detection. In this course, you will investigate significant ways to apply AI in marketing and in retail. Explore the Weibo case study, which focuses on data from marketing and advertising posts on social media and the attempts to predict likes, comments, and shares of each post before it is sent out. Then, analyze the applications of market basket analysis (MBA) via case study to determine how to perform customer segmentation using clustering and MBA through association rules mining. Finally, discover how to predict out-of-stock events in a store.


  • Discover the key concepts covered in this course
    Describe how ai can potentially be used in marketing
    Recall a case study for social media marketing posts response prediction
    Recall the methodology and results of an advertisement post response prediction model
    Describe how ai can potentially be used in retail
  • Recall how market basket analysis works
    Recall a case study that attempts to predict out-of-stock events
    Recall the results of an out-of-stock prediction model
    Summarize the key concepts covered in this course


  • 2m 20s
  • 9m 16s
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    3.  Case Study: Responses to Marketing Posts - Overview
    5m 37s
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    4.  Case Study: Responses to Marketing Posts - Methods
    6m 41s
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    5.  Artificial Intelligence in Retail
    8m 44s
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    6.  Case Study: Market Segmentation and Basket Analysis
    5m 52s
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    7.  Case Study: Out-Of-Stock Prediction - Overview
    5m 46s
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    8.  Case Study: Out-of-Stock Prediction - Findings
    7m 38s
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    9.  Course Summary
    3m 40s


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