Introduction to Distributions

Overview

Explore how data behaves from start to finish. You'll learn to describe distributions, calculate measures of center and spread, and interpret histograms and box plots — building the skills to spot patterns, identify outliers, and draw meaningful conclusions from real-world data.

Syllabus

Course 1: Data Distributions and Center
Course 2: Measuring Spread and Variability
Course 3: Analyzing Data with Histograms
Course 4: Analyzing Data with Box Plots

Courses

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You'll explore what a data distribution is and learn to calculate the three main measures of center — mean, median, and mode. You'll also discover how outliers and skew affect these measures and how to choose the best one for any dataset.
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You'll learn what variability means and how to measure it using range and interquartile range. By comparing these two measures, you'll understand what each one reveals about how consistently data values cluster together and when each is most informative.
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You'll learn to read histograms by interpreting axes, bins, and bar heights. Then you'll classify distribution shapes, spot clusters and gaps, and draw practical conclusions from the data on display.
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You'll learn to read and interpret box plots by identifying the five-number summary and understanding what each component reveals. You'll also detect outliers using the 1.5 × IQR rule and compare distributions across groups with side-by-side box plots.