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Articles

Writing on data science
and how to teach it

Practical writing on data science, teaching, and what it really takes to work with data — for students, professionals, and anyone trying to make sense of it all.


  1. 27 May 2026 01

    Customer Segmentation: RFM Analysis

    A step-by-step visual guide to RFM Analysis — the framework that scores every customer on Recency, Frequency, and Monetary value so you know exactly who to focus on.

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  2. 1 May 2026 02

    What Most Data Science Courses Get Wrong (And How to Spot a Good One)

    The data science education landscape is crowded — here's what separates programmes that build real skills from ones that just look impressive on paper.

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  3. 10 April 2026 03

    You Don't Need to Be a Programmer to Lead a Data Science Team

    A guide for managers and executives who work with data scientists but don't write code themselves — what to understand, what to delegate, and what questions to ask.

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  4. 15 March 2026 04

    Why 'Get More Data' Is Usually the Wrong Answer

    Before you invest in bigger datasets or more complex models, it's worth asking whether the problem is actually a data problem at all.

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