AI Marketing Courses

Marketing focus

Marketing Analytics with Python: From Data to Insights

Cluster/segment customers, analyze ideal-customer similarity and cohorts, and apply regression/lag analysis to marketing strategy decisions

Gaelim Holland · Udemy

Inside the course

What you’ll cover

Cluster/segment customers, analyze ideal-customer similarity and cohorts, and apply regression/lag analysis to marketing strategy decisions

Audience and starting point

Selected published requirements: “basic python knowledge”. See the provider page for the full requirements and current tool terms

Access and subscriptions

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

Learning decision: Frame one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
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.

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Related tasks, tools and formats. Check the differences before choosing.

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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…

13 modules and 15 assignments. Intermediate. Coursera estimates two weeks at ten hours per week. Some assignments are shortCheck current priceAsk about teaching language
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