Advanced customers analytics. Practical use of algorithmic marketing

Advanced customers analytics. Practical use of algorithmic marketing

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, SQL, PowerBI.


Understanding of basic concepts of supervised / unsupervised learning.


Liubomyr Bregman

Senior Consultant in Data Science/PwC Data Analytics, Czech Republic Senior Consultant in Data Analytics in PwC Prague, with a demonstrated history of working in the management consulting industry where I was invoved in building predictive modelling 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 PhD program. Alumni of Lviv Physics & Math Lyceum. Research interests include Non parametric modelling, Graph theory and High dimentional econometrics.  

Adam Blascik

Data scientist in PwC Czech Republic Adam is a data scientist and consultant with background in econometrics and statistics. In PwC he has been involved in various data analytics projects ranging from campaign optimization to image recognition or AML. Currently Adam is involved in insurance industry where he focuses on customer analytics projects. R programming, data visualization, quantitative marketing, behavioral economics.

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