AI Marketing Courses

Marketing focus

Foundations of AI-Driven Marketing Analytics

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

Packt · Coursera

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

Data Analytics for Marketing

Packt

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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Marketing focus

AI Marketing Strategy and Analytics

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
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Related skills

Real world data science projects to become data scientist

Vinay Karode

Implement logistic-regression and decision-tree churn models, interpret predictions and compare ensembles alongside broader insurance and retail-sales projects

5 sections • 32 lectures • 5h 41m total lengthCheck current priceEnglish
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