Industry Case Studies

Case Studies from Retail and E-commerce


Skill level


Course cost

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

  • Time series forecasting
  • Clustering
  • Market Basket Analysis
  • Regression
  • CART
  • Random Forest

Course Syllabus

Application of analytics in Retail and E-commerce

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