Related skills · check the marketing fit
Use interactive ML simulations and business-pattern exercises to reason about buying cycles, campaign allocation, churn and consumer trends, the course emphasizes decision logic rather than code
Mark Lee · Udemy
Use interactive ML simulations and business-pattern exercises to reason about buying cycles, campaign allocation, churn and consumer trends. The course emphasizes decision logic rather than code
The provider states that neither a programming nor mathematical background is required
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
Related tasks, tools and formats. Check the differences before choosing.
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…
Christ Raharja
Build k-means customer segments, a decision-tree spending predictor and an SVM churn model, select features and interpret models for marketing decisions
Packt
Four modules use marketing KPIs and performance measures including conversion, CPA and ROI, regression/decision-tree analysis covers conversion and churn, time series methods such as ARIMA and Prophet address seasonality and trends