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Statistics Tutorial

Learn statistics from averages to regression: work each formula by hand, then check it with NumPy and SciPy in your browser.

28 free lessons Beginner to Advanced Covers Python 3.14 with NumPy, pandas and SciPy

Start the first lesson

Getting Started Beginner

  1. 1Statistics Introduction
  2. 2Types of Data & Levels of Measurement
  3. 3Population & Sample
  4. 4Sampling Methods & Bias

Describing Data Beginner

  1. 5Frequency Tables
  2. 6Histograms, Box Plots & Bar Charts
  3. 7Mean, Median & Mode
  4. 8Range, IQR, Variance & Standard Deviation
  5. 9Percentiles & z-Scores
  6. 10Skewness & Outliers

Probability Beginner

  1. 11Probability Basics
  2. 12Conditional Probability & Bayes' Theorem
  3. 13Random Variables & Expected Value
  4. 14Binomial & Poisson Distributions
  5. 15The Normal Distribution

From Sample to Population Intermediate

  1. 16The Central Limit Theorem
  2. 17Standard Error
  3. 18Confidence Intervals

Hypothesis Testing Intermediate

  1. 19Hypothesis Testing & p-Values
  2. 20t-Tests
  3. 21Chi-Square Tests
  4. 22ANOVA

Relationships Advanced

  1. 23Correlation vs Causation
  2. 24Simple Linear Regression
  3. 25Multiple Regression

Statistics in Practice Advanced

  1. 26A/B Testing
  2. 27Common Statistical Mistakes
  3. 28Project: Analyse a Dataset & Write a Report

Learn Statistics with a mentor

Free lessons get you started. Our Data Science & Machine Learning training adds real projects and code reviews from working developers.

  • Project-based learning
  • Mentor code reviews
  • Free counselling call
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