Marketing focus
R workflows use linear regression for customer lifetime value, logistic regression for churn, Kaplan-Meier/Cox survival analysis for time to reorder and churn, and PCA on CRM data
DataCamp · DataCamp
R workflows use linear regression for customer lifetime value, logistic regression for churn, Kaplan-Meier/Cox survival analysis for time to reorder and churn, and PCA on CRM data
The official provider listing offers an online course entry point. Sign-in, enrollment, checkout and learner access were not tested
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…
Packt
Python workflow covers ETL/Singer and Streamlit, causal/regression analysis, Prophet/ARIMA KPI forecasting, STL/S-H-ESD/Bayesian change-point anomaly detection, k-means/RFM, decision trees/random forests, LDA/QDA and PyMC Marketing BTYD…
Start-Tech Academy , Pukhraj Parikh , Abhishek Bansal
Preprocess customer data and use Excel/XLSTAT regression, clustering and automated logistic models for behavior, churn/retention and sales forecasts