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
Use KNIME churn-training workflows and a clothing-customer dataset for k-means segmentation, cluster optimization and marketing personas within a broader platform course
Francesco Alaimo · Udemy
Use KNIME churn-training workflows and a clothing-customer dataset for k-means segmentation, cluster optimization and marketing personas within a broader platform course
Practice: The instructor's course note says quiz sections were added to check understanding. This is a provider claim about the advertised assessment mechanism
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
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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
University of California, Davis
Three modules analyze exported LinkedIn engagement metrics and comments, apply sentiment analysis, forecast 30-day engagement, compare cross-platform results and produce a data-backed optimization plan using a spreadsheet dataset
Christ Raharja
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