\( \newcommand{\vect}[1]{\mathbf{#1}} \newcommand{\mat}[1]{\mathbf{#1}} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \newcommand{\Prob}{\mathbb{P}} \newcommand{\T}{^{\top}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\abs}[1]{\lvert #1 \rvert} \newcommand{\ihat}{\mkern1mu\hat{\boldsymbol{\imath}}\mkern2mu} \newcommand{\jhat}{\mkern1mu\hat{\boldsymbol{\jmath}}\mkern2mu} \newcommand{\pd}[2]{\frac{\partial #1}{\partial #2}} \newcommand{\argmax}{\operatorname*{arg\,max}} \newcommand{\argmin}{\operatorname*{arg\,min}} \newcommand{\cdata}[1]{\class{c-data}{#1}} \newcommand{\cmodel}[1]{\class{c-model}{#1}} \newcommand{\ctruth}[1]{\class{c-truth}{#1}} \newcommand{\cgrad}[1]{\class{c-grad}{#1}} \newcommand{\closs}[1]{\class{c-loss}{#1}} \newcommand{\cparam}[1]{\class{c-param}{#1}} \newcommand{\csecond}[1]{\class{c-second}{#1}} \renewcommand{\,}{\mkern3mu} \)

S01 · Exploratory Data Analysis

A free, illustrated L1 course of 8 modules in the Statistics and Data Analysis track. Modules include: Data types and measurement; Sampling and bias; Center, spread and shape.

S01 L1 · Core 8 modules · about 32 lessons Planned · Ring 1

Part of the Statistics and Data Analysis track. Ships in Ring 1 (Foundation) of the roadmap.

Modules

1. Data types and measurement
2. Sampling and bias
3. Center, spread and shape
4. Distributions and outliers
5. Relationships between variables
6. Missing data
7. Simpson’s paradox and confounding, a first look
8. An analysis workflow from start to finish

Signature illustrations

The pictures a learner should still see in their head a year later:

Histogram bin-width explorer, anatomy of a boxplot, Anscombe’s quartet, a scatter plot splitting to show Simpson’s paradox.

Status

This course is planned, not written yet. It ships with Ring 1 (Foundation).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.