Courses

Resources, class material and practice simulators for the courses I teach or assist.

General Statistics

Practice simulators for the four midterms plus the sixteen weeks of class material.

Thirteen sessions: frequency tables, charts, statistical measures and data-driven reports.

Thirteen sessions: probability and sampling, distributions, estimation and hypothesis testing.

Thirteen sessions: number systems, powers and logarithms, algebra and trigonometry.

Thirteen sessions: number systems, powers and logarithms, algebraic expressions and equations.

Foundations of algorithmic thinking and problem solving through programming.

Regression models, evaluation and deployment of supervised learning solutions with Python.