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

Track S · Statistics and Data Analysis

The Statistics and Data Analysis track of Applied AI Mastery: 8 free, illustrated courses and 75 modules, L1 to L4. How to learn from data with honest uncertainty, from a first histogram to causal inference.

Track S L1 to L4 · Core to Expert 8 courses · 75 modules

How to learn from data with honest uncertainty, from a first histogram to causal inference.

Course	Level	Modules	Status
S01 Exploratory Data Analysis	Level L1	Modules 8	Status Planned · Ring 1
S02 Statistical Inference	Level L2	Modules 10	Status Planned · Ring 2
S03 Regression and Linear Models	Level L2	Modules 10	Status Planned · Ring 3
S04 Bayesian Statistics	Level L2 to L3	Modules 10	Status Planned · Ring 3
S05 Experiment Design and A/B Testing	Level L2	Modules 8	Status Planned · Ring 3
S06 Causal Inference	Level L3	Modules 10	Status Planned · Ring 3
S07 Time Series and Forecasting	Level L2 to L3	Modules 10	Status Planned · Ring 3
S08 Advanced Statistics	Level L3 to L4	Modules 9	Status Planned · Ring 4

See how this track connects to the others in the curriculum overview.