AI Marketing Courses

Marketing focus

RA: Retail Customer Analytics and Trade Area Modeling.

Apply k-means to RFM customer data, predict CLV tiers with a decision tree, build a churn pipeline and interpret commercial segments, alongside trade-area/store-location modeling

Haytham Omar-Ph.D · Udemy

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What you’ll cover

Apply k-means to RFM customer data, predict CLV tiers with a decision tree, build a churn pipeline and interpret commercial segments, alongside trade-area/store-location modeling

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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 one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
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Marketing focus

Machine Learning for Marketing in Python

DataCamp

Four chapters (16 videos, 53 exercises) implement marketing ML: logistic regression/decision trees and churn-driver interpretation on telecom data, RFM/linear-regression next-month CLV prediction for an online retailer, and k-means/NMF…

Intermediate Python, four hours. 16 videos and 53 interactive exercises. Prerequisite: Supervised Learning with scikit-learnCheck current priceAsk about teaching language
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Related skills

Real world data science projects to become data scientist

Vinay Karode

Implement logistic-regression and decision-tree churn models, interpret predictions and compare ensembles alongside broader insurance and retail-sales projects

5 sections • 32 lectures • 5h 41m total lengthCheck current priceEnglish
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