Predictive Customer Analytics
Start-Tech Academy , Pukhraj Parikh , Abhishek Bansal
Preprocess customer data and use Excel/XLSTAT regression, clustering and automated logistic models for behavior, churn/retention and sales forecasts
Related skills · check the marketing fit
Build regression-based sales forecasts and study retention classification and K-means customer segmentation
Start-Tech Academy, Abhishek Bansal, Pukhraj Parikh · Udemy
Build regression-based sales forecasts and study retention classification and K-means customer segmentation
No prior experience is required according to the source
Practice: Provider-described hands-on tasks and quizzes apply regression, churn classification, clustering and Julius AI forecasting. Formal grading or depth is not confirmed
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.
Start-Tech Academy , Pukhraj Parikh , Abhishek Bansal
Preprocess customer data and use Excel/XLSTAT regression, clustering and automated logistic models for behavior, churn/retention and sales forecasts
Exam Turf
Apply logistic-regression churn models and k-means airline-customer segmentation to retention and targeted marketing within a broader R/Excel analytics course
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…