DADataCamp
Customer Segmentation in Python
Intermediate 4 hours English Course Certificate
Our recommendation
A DataCamp course covering three real-world segmentation techniques in sequence — cohort analysis, RFM scoring, and clustering. Hands-on in Python, it gives marketers and analysts practical, interpretable ways to group customers. Best for people with some Python who want applied segmentation skills.
Skills you'll gain
Customer segmentationCohort analysisRFMClusteringPythonMarketing analytics
Is this course right for you?
A good fit if you…
You know some Python
You want to segment customers
You are in marketing or analytics
Consider something else if you…
You lack Python basics
You want a no-code approach
You already segment customers
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.
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
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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Is the certificate recognised?
DataCamp includes a certificate of completion with your subscription — a useful learning record rather than a formal or accredited qualification.
Instructor
I
Instructor
DataCamp instructor
Taught by DataCamp's marketing analytics curriculum team.
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
Frequently asked questions
Cohort analysis, RFM (recency, frequency, monetary) scoring, and clustering — three practical segmentation methods.
Yes — it is hands-on in Python.
Yes — the first chapter is free; the rest needs a DataCamp subscription.
Around four hours.
Yes — a DataCamp certificate of completion is included with the subscription, as a learning record.