Marketing Analytics Using R and Excel
Exam Turf
Apply logistic-regression churn models and k-means airline-customer segmentation to retention and targeted marketing within a broader R/Excel analytics course
Related skills · check the marketing fit
Analyze campaign and retention metrics, use unsupervised customer segmentation, build CatBoost churn and MLP lifetime-value models, and run A/B tests within a broader Excel/Python/Power BI course
Christ Raharja · Udemy
Analyze campaign and retention metrics, use unsupervised customer segmentation, build CatBoost churn and MLP lifetime-value models, and run A/B tests within a broader Excel/Python/Power BI course
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.
Exam Turf
Apply logistic-regression churn models and k-means airline-customer segmentation to retention and targeted marketing within a broader R/Excel analytics course
Vinay Karode
Implement customer segmentation, social sentiment, ecommerce recommendations, customer lifetime value and association rules within a broader 21-project Python ML portfolio. These outputs differ from the same creator’s retained…
John Wiley & Sons
The 24-module book-based course includes AI/ML behavioral segmentation and persona development, predictive lead scoring, customer lifetime value and dynamic pricing, churn models and retention measurement, NLP/sentiment, predictive…