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CustomerAnalytics

This is repo for Customer Analytics course. Prepared for Lviv Data Science Summer School 2019.

Course Description

The course will cover practical steps of Segmentations, Churn analysis, Live Time Values, Optimization of campaigns, Dynamic pricing and Network analysis combined with theoretical methodologies which we are using for our clients. The course will contain five workshops where students will be working with data from Telco, Banking and/or Retail. The course will use R as a primary working language, however, on request, it can be also covered in Python.

Course topics

Marketing, ML, Customer Analytics.

Course tools

R

Prerequisites

Understanding of basic concepts of supervised / unsupervised learning.

The course is developed and tought by Liubo Bregman & Adam Blascik & Richard Bobek

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