Compare AI training for customer analytics, marketing data and interpreting campaign results.
333 courses in this collection
Haytham Omar-Ph.D
Apply k-means to RFM customer data, predict CLV tiers with a decision tree, build a churn pipeline and interpret commercial segments, alongside trade-area/store-location modeling
Christ Raharja
Analyze campaign and retention metrics, use unsupervised customer segmentation, build CatBoost churn and MLP lifetime-value models, and run A/B tests within a broader Excel/Python/Power BI course
BISP Solutions
Build PyTorch neural-network models for cross-sell, customer value and promotional success alongside broader demand, ERP sales and anomaly forecasting
Packt Publishing
Prepare and visualize marketing data in Python, create hierarchical and k-means customer segments, predict customer value and classify customer choice
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
Arpit Khurana
Build and evaluate no-code marketing ML models for churn, sales, lead scoring and customer clusters, and apply NLP, visual listening and AI chatbots
Spaark Hub, Gaurav Shandilya
Prepare campaign data, model Google Ads outcomes using Random Forest and Gradient Boosting, compare channels and benchmarks, and apply cohort/RFM analysis to retention and ROI
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
Simon Sez IT
Study segmentation, propensity, lookalike and customer-value models and apply NLP sentiment analysis to brand monitoring and social campaigns within a broader analytics course
Minerva Singh
Implement content-based, collaborative and hybrid recommendation approaches in R and relate user-item preference predictions to e-commerce personalization
Toppers Bootcamp
Use generative AI for product content and personalized recommendations, website experiences and marketing messages, broader cases also cover service, virtual try-on and inventory
Massimiliano Sorrentino
Create AI text, images, voice and music, adapt customer journeys with behavioral prompts and use sentiment analysis and generated content for community and campaign work
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