Customer Analytics in Python
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
Marketing focus
Prepare and visualize marketing data in Python, create hierarchical and k-means customer segments, predict customer value and classify customer choice
Packt Publishing · Udemy
Prepare and visualize marketing data in Python, create hierarchical and k-means customer segments, predict customer value and classify customer choice
Selected published requirements: “It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics”. See the provider page for the full requirements and current tool terms
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
Related tasks, tools and formats. Check the differences before choosing.
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
Tobias Mayer
Prepare customer data in Python, apply supervised regression and unsupervised k-means/PCA, evaluate clusters and translate segments into targeted marketing actions
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…