Case Studies from Retail and E-commerce

About this course

It is now possible to significantly optimize traditional business processes such as hiring, marketing, pricing, etc. using digital technologies. Data Science has become an integral part of this digital transformation, and these business decisions are made by analyzing large amounts of data. In this course, you will be exposed to some of the commonly used data science techniques and their applications in Retail and E-commerce.

Skills covered

  • checkTime series forecasting
  • checkClustering
  • checkMarket Basket Analysis
  • checkRegression
  • checkCART
  • checkRandom Forest

Course Syllabus

Application of analytics in Retail and E-commerce

  • playPredicting YoY Retails Sales Value using Time Series Forecasting
  • playApplications of Analytics in Ecom
  • playHands-on use case: Predict customer lifetime value
  • playHands-on use case: Predict purchasing intention of online shoppers
  • playHands-on use case: Customer segmentation for targeted marketing (Clustering)
  • playHands-on use case: Market Basket Analysis (Association Rules)
  • playCourse wrap-up: Summarize recommendations & actionable insights

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