Courses

Customer Analytics (R/Python)

Duration

14 hours – 2 days.

Prerequisites

  • Basic familiarity with data manipulation (for instance, spreadsheet software).

Overview

Estimating customer lifetime value is crucial for any business. In this course we provide the fundamentals to perform the analysis in your own customer base.

Course Outline

  • Customer segmentation (RFM). The k-means algorithm.
  • Estimating customer lifetime value (CLV).
  • Calculating churn. Parametric and non-parametric models.
  • Survival analysis.

Audience

  • Marketing specialists, data analysts and data scientists.

Format of the course

  • This is a hands-on course, with live coding and exercises. Participants should bring their own laptops.

Price

300 EUR/person + VAT.

Note:  The course is designed to provide a broad overview. However, we can customize the course to cover your specific needs.

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