Customer Analytics

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. Marketing, ML, Customer Analytics.

Prerequisites

Understanding of basic concepts of supervised / unsupervised learning.

Course tools

R, SQL, PowerBI.

About the lecturer

Liubomyr Bregman

Senior Consultant in Data Analytics in PwC Prague, with a demonstrated history of working in the management consulting industry where I was involved in building predictive modeling in Customer Analytics, Financial Modelling, Anti Fraud Analytics. Previously Partner of Optigra Software in Lviv, Ukraine. Studied Economics and Econometrics in Center of Economic Research & Graduate Education (Charles University and Czech Academy of Science), did not finish Ph.D. program. Alumni of Lviv Physics & Math Lyceum.

Richard Bobek

Graduated from Cybernetics at the Czech Technical University in Prague. During his career, he solved various problems from different industries in the fields of data analytics, advanced analytics, and optimization.