Marketing focus
Cluster/segment customers, analyze ideal-customer similarity and cohorts, and apply regression/lag analysis to marketing strategy decisions
Gaelim Holland · Udemy
Cluster/segment customers, analyze ideal-customer similarity and cohorts, and apply regression/lag analysis to marketing strategy decisions
Selected published requirements: “basic python knowledge”. See the provider page for the full requirements and current tool terms
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
Related tasks, tools and formats. Check the differences before choosing.
365 Careers , Iliya Valchanov
Prepare customer data, apply hierarchical/k-means/PCA segmentation, analyze purchase data by segment and model purchase incidence, marketing mix and price response
Eduonix Learning Solutions
Analyze and segment customers, forecast customer value, map journeys, model real-time personalization and targeted advertising and develop product-query conversations
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…