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