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Marketing focus

Customer lifetime value predictive model with Python

Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions

Datagist INC · Udemy

Inside the course

What you’ll cover

Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions

Audience and starting point

Selected published requirements: “Basic computer skills”. See the provider page for the full requirements and current tool terms

Access and subscriptions

Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking

Learning decision: Frame an audience or offer question; make An evidence-based campaign brief; check Sources, assumptions and a next test.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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12 modules and 36 assignments. Coursera estimates two weeks at ten hours per weekCheck current priceAsk about teaching language
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Customer Segmentation in Python

DataCamp

Four chapters (17 videos, 55 exercises) use online-retailer transactions for cohort acquisition/retention metrics, RFM value scoring and custom segments, then prepare and scale RFM features, fit k-means and interpret the resulting…

Intermediate Python, four hours. 17 videos and 55 interactive exercises. Prerequisite: Supervised Learning with scikit-learnCheck current priceAsk about teaching language
Read course details