AI Marketing Courses

Marketing focus

Master Cluster Analysis: From Data to Market Insights

Learn hierarchical/k-means and categorical-data clustering, interpret dendrograms and apply the methods to market segmentation, a structured eight-chapter course

Institute of Product Leadership · Udemy

Inside the course

What you’ll cover

Learn hierarchical/k-means and categorical-data clustering, interpret dendrograms and apply the methods to market segmentation. A structured eight-chapter course

Audience and starting point

Selected published requirements: “No previous experience required - I'll teach you everything you need to know”. See the provider page for the full requirements and current tool terms

Practice and assessment

Practice: A quiz is listed in section eight. Its scoring is not exposed

Access and subscriptions

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

Learning decision: Frame one business question; make A report with an interpretation; check Data quality, uncertainty and competing explanations.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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Related tasks, tools and formats. Check the differences before choosing.

Marketing focus

Segmentasi Pelanggan Menggunakan K-Means Clustering

Taman Belajar, Bina Nusantara University

Prepare customer data, implement k-means in Python, evaluate and interpret clusters and complete a customer-segmentation case study

4 sections • 11 lectures • 1h 58m total lengthCheck current priceIndonesian
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Marketing focus

Unsupervised Learning and Its Applications in Marketing

O.P. Jindal Global University

Python marketing workflows cover k-means, hierarchical and DBSCAN segmentation, PCA, t-SNE and autoencoders, anomaly detection, association mining, semi-supervised methods, and recommender systems

12 modules and 36 assignments. Coursera estimates two weeks at ten hours per weekCheck current priceAsk about teaching language
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Related skills

Clustering & Unsupervised Learning in Python

Meta Brains , Skool of AI

Prepare and evaluate k-means, hierarchical and DBSCAN clusters, then complete an ecommerce customer-segmentation project, broader unsupervised ML supports the marketing application

11 sections • 52 lectures • 4h 53m total lengthCheck current priceEnglish
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