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Descriptive Statistics & Exploratory Data Analysis

Summarise, visualise, and interrogate a dataset before you model anything

30 min read 10 views

Learn to describe centre, spread and shape, choose the right plot for the question, detect outliers and missing-data mechanisms, run data quality checks that catch leakage and unit errors, avoid Simpson's paradox, and follow a repeatable EDA checklist in pandas.

Practice questions (6)

  • Choosing Mean vs Median for a Stakeholder Report

    Beginner · Free
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  • Z-Score vs IQR vs MAD for Outlier Detection

    Intermediate · Free
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  • Diagnosing Missing-Data Mechanisms

    Intermediate · Free
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  • Simpson's Paradox in a Product Comparison

    Intermediate · Free
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  • A Data Quality and Leakage Audit

    Intermediate · Free
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