DADataCamp
Customer Segmentation in Python
Intermediate 4 hours English Completion Certificate
About this course
Customer Segmentation in Python covers three real-world segmentation techniques in sequence: cohort analysis to track customer trends over time, RFM (recency, frequency, monetary value) scoring to build interpretable segments, and k-means clustering to make those segments more powerful using a real anonymized retailer transaction dataset.
The honest take: the Supervised Learning with scikit-learn prerequisite is real — this isn't a marketing course that happens to use code, it's a hands-on analytics course that assumes you can already build and evaluate basic models. The reviews (5/5, "excellent for customer analysis") suggest the techniques transfer well to real segmentation work.
What you'll learn
Run cohort analysis to track customer acquisition and retention
Build RFM (recency, frequency, monetary) customer segments
Preprocess data for clustering: scaling, skewness correction
Apply k-means clustering to segment customers
Visualize and interpret segments with snake plots and heatmaps
Build an end-to-end segmentation solution on real transaction data
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
I
Instructor
DataCamp instructor
— learners— courses — instructor rating
Taught by DataCamp's marketing analytics curriculum team.
Requirements
- Supervised Learning with scikit-learn
Who this course is for
- Data and marketing analysts doing customer segmentation
- CRM specialists personalizing campaigns
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Cohort analysis, RFM (recency, frequency, monetary value) segmentation, and k-means clustering.
Yes — Supervised Learning with scikit-learn is a real prerequisite, along with pandas and basic statistics.
Requires a DataCamp subscription, from $25/mo, with a free trial available.
About 4 hours across four chapters.
Data analysts, marketing analysts, and CRM specialists who personalize campaigns and improve retention using segmentation.