AI Marketing Courses

Marketing focus

Customer Analytics in Python

Prepare customer data, apply hierarchical/k-means/PCA segmentation, analyze purchase data by segment and model purchase incidence, marketing mix and price response

365 Careers , Iliya Valchanov · Udemy

Inside the course

What you’ll cover

Prepare customer data, apply hierarchical/k-means/PCA segmentation, analyze purchase data by segment and model purchase incidence, marketing mix and price response

Audience and starting point

Selected published requirements: “Basic Python programming”. See the provider page for the full requirements and current tool terms

Practice and assessment

Practice: The outline lists quiz questions about price elasticity

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.

How we source course information

Keep looking

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

Marketing focus

Customer Segmentation Analytics Masterclass 2024

Tobias Mayer

Prepare customer data in Python, apply supervised regression and unsupervised k-means/PCA, evaluate clusters and translate segments into targeted marketing actions

7 sections • 45 lectures • 3h 21m total lengthCheck current priceEnglish
Read course details
Marketing focus

Data Science for Marketing Analytics

Packt Publishing

Prepare and visualize marketing data in Python, create hierarchical and k-means customer segments, predict customer value and classify customer choice

9 sections • 45 lectures • 4h 33m total lengthCheck current priceEnglish
Read course details
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
Read course details