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

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

Course Syllabus

Application of analytics in Retail and E-commerce

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

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