Data Science
Beginner
Free
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)
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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