Compare AI training for customer analytics, marketing data and interpreting campaign results.
333 courses in this collection
Board Infinity
Four modules build an AI-driven omnichannel brand campaign: creative generation and testing, predictive audience targeting and personalization, automated experiments/A-B and multivariate tests, cross-channel attribution, predictive KPIs…
Board Infinity
Four modules use social, search, review and cultural signals for sentiment, brand-health and competitor analysis, build dynamic personas and ML-based segmentation/trend forecasts, and produce an ethical, privacy-aware multi-source…
Board Infinity
Four modules cover AI brand research and ethics, social listening, sentiment, audience clustering and brand-health measures, predictive engagement, personalization, marketing automation and A/B testing, and a Power BI/Google Data Studio…
Board Infinity
Two practical modules use ChatGPT/Gemini/Canva for product listings and ads, Shopify Sidekick recommendations, Landbot/Tidio support chatbots, review mining, Akkio customer segments, multi-channel campaigns, demand forecasts, inventory,…
Coursera
Fourteen modules cover personalized AI email/content and prompt libraries, HubSpot CRM cleanup and audit, AI lead scoring/nurture, CLV/cohort calculations, and a final SaaS-feature campaign project combining CRM cleanup, a scoring model…
Coursera
Nine modules teach qualitative interviews/AI focus groups, branching questionnaire design, conjoint and sampling/power, SurveyMonkey setup, LLM-assisted moderation/transcript synthesis with hallucination checks, GDPR consent, data…
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,…
University of California, Davis
Three modules teach an AI-assisted micro-influencer workflow: define a niche- and audience-fit persona, voice, content pillars, cadence and platform KPIs, use generative AI to adapt a core post into LinkedIn, X, Instagram and TikTok…
University of California, Davis
Three modules analyze exported LinkedIn engagement metrics and comments, apply sentiment analysis, forecast 30-day engagement, compare cross-platform results and produce a data-backed optimization plan using a spreadsheet dataset
DataCamp
Four chapters (16 videos, 53 exercises) implement marketing ML: logistic regression/decision trees and churn-driver interpretation on telecom data, RFM/linear-regression next-month CLV prediction for an online retailer, and k-means/NMF…
DataCamp
Four chapters (17 videos, 55 exercises) use online-retailer transactions for cohort acquisition/retention metrics, RFM value scoring and custom segments, then prepare and scale RFM features, fit k-means and interpret the resulting…
DataCamp
Four chapters (15 videos, 52 exercises) teach Apriori association rules and support, confidence, lift, conviction and related metrics, with interactive cross-selling/recommendation tasks for grocery, library, e-book, novelty retail and…
Page 19 of 28