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Statistics for Data Science

Free

Descriptive statistics, spread and variability, distributions, and skewness — building real statistical intuition through interactive visualizations.

4 modules · Free with a (free) account.

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What this course covers

A module-by-module concept outline. Open the course to learn each topic with animated explanations, in-browser code, practice challenges, and a knowledge check.

Module 1. Finding the Center

Topics
Why Do We Need This?The Mean (Average)The Median (Middle Value)The Mode (Most Popular)Which One Should You Use?
Sections
  1. 1Why Do We Need This?
  2. 2The Mean (Average)
  3. 3The Median (Middle Value)
  4. 4The Mode (Most Popular)
  5. 5Which One Should You Use?

Module 2. Measuring the Spread

Topics
Why Spread MattersRange and QuartilesVariance and Standard DeviationBox PlotsReal-World Examples
Sections
  1. 1Why Spread Matters
  2. 2Range and Quartiles
  3. 3Variance and Standard Deviation
  4. 4Box Plots
  5. 5Real-World Examples

Module 3. Understanding Distributions

Topics
The Normal DistributionThe 68-95-99.7 RuleZ-ScoresSkewnessOther Distribution Shapes
Sections
  1. 1The Normal Distribution
  2. 2The 68-95-99.7 Rule
  3. 3Z-Scores: Standardizing Data
  4. 4Skewness: When Data Isn't Symmetric
  5. 5Other Distribution Shapes

Module 4. Understanding Skewness

Topics
What is Skewness?Why Does Data Get Skewed?When to Use Median Instead of MeanSpotting Misleading StatisticsComparing Measures Across Distributions
Sections
  1. 1What is Skewness?
  2. 2Why Does Data Get Skewed?
  3. 3When to Use Median Instead of Mean
  4. 4Spotting Misleading Statistics
  5. 5Comparing Measures Across Distributions

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