Compare AI training for customer analytics, marketing data and interpreting campaign results.
333 courses in this collection
Ram Prasad
Use a no-code classification model and forward feature selection to analyze age, geography and traffic-source predictors and derive marketing actions within a broader RapidMiner ML course
Louise Laurie
Use ChatGPT for SWOT, market/competitor/customer research, SMART goals, positioning, tactics and measurement, including deep research, produce a marketing strategy for the learner’s business. Applied project: Build a small-business…
Andres Brachetta - Best Selling Instructor , Belen Rodriguez
Use ChatGPT for prospecting, personalized emails/scripts/proposals, presentation/objection practice and post-sale retention, upsell/cross-sell and reports, sales-focused broader course
Orbit Advices, S.L. Rafel Muntan
Learn AI fundamentals, then apply predictive CRM/marketing tools to lead prospecting, personalized communication, follow-up and retention, a 40-minute, two-part sales-focused course with review videos
Gabriel Scrignoli
Configure a matrix assistant and editorial, Reels, carousel and static-post assistants, then personalize them to the learner’s niche, seven lessons create a repeatable content-production system
Gaelim Holland
Cluster/segment customers, analyze ideal-customer similarity and cohorts, and apply regression/lag analysis to marketing strategy decisions
Institute of Product Leadership
Learn hierarchical/k-means and categorical-data clustering, interpret dendrograms and apply the methods to market segmentation, a structured eight-chapter course
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
Santiago Tacoronte , Santiago Tacoronte
Combine metrics, data platforms, segmentation/personalization and testing with predictive customer behavior and AI-informed marketing strategy, the source lists separate predictive and AI/future-trend units
Kirill Eremenko , Hadelin de Ponteves , SuperDataScience Team , Ligency
Build ML models across domains, including association-rule market-basket analysis and reinforcement-learning CTR optimization, broad technical prerequisites and non-marketing models remain explicit
Alexander Henze
Use behavior/real-time data for AI recommendations, customer journeys, personalized ads/email/content and implementation/measurement of hyperpersonalization
Sundog Education by Frank Kane , Frank Kane , Sundog Education Team
Build and evaluate content/collaborative, matrix-factorization, neural and session-based recommenders, with Netflix/YouTube examples and production-scale methods. Technical recommendation training transfers to customer content/product…
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