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 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
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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
Coursera
Nine modules build an AI-informed strategy from concrete analysis tasks: map AI-influenced search and recommendation touchpoints in the buyer journey, translate AI insights into a time-bound, geo-targeted plan with channels, budget,…
Published estimated study commitment: 8 hours to complete. Flexible, self-paced schedule. Study estimates are distinct from total video runtimeCheck current priceEnglish