Evaluate marketing effectiveness with causal thinking, correlation and regression within an AI-led framework
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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
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
13 modules and 15 assignments. Intermediate. Coursera estimates two weeks at ten hours per week. Some assignments are shortCheck current priceAsk about teaching language
Shared topic: Customer analytics and personalization
Tobias Mayer
Prepare customer data in Python, apply supervised regression and unsupervised k-means/PCA, evaluate clusters and translate segments into targeted marketing actions
7 sections • 45 lectures • 3h 21m total lengthCheck current priceEnglish
Shared topic: Customer analytics and personalization
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
Four modules, about four hours and four assignmentsCheck current priceAsk about teaching language