Free Homeschool Resources
Open-Access STEM Library
Peer-reviewed text across mathematics, natural sciences, and computer science.
Pre-Algebra
Builds numerical operational fluency, integer logic, and foundational equations. Perfect for standardized test preparation tracks.
Algebra I
Covers linear systems, quadratic functions, inequalities, and core algebraic modeling concepts.
Geometry
Explores congruence, similarity, formal geometric proofs, trigonometric ratios, and spatial volume calculations.
Algebra II
Advanced algebraic transformations, logarithmic equations, complex number systems, and advanced polynomial mapping functions.
Pre-Calculus
Comprehensive function analysis, analytic geometry matrices, vectors, and detailed unit-circle trigonometry properties.
Calculus (I, II & III)
Covers limits, derivative properties, integration techniques, parametric equations, and multivariable sequences.
Biology
An in-depth exploration of molecular biology, cellular mechanics, genetics, evolution, and ecological systems. Designed for high school level or introductory college placement.
Chemistry
Covers atomic structure, chemical bonding, stoichiometry, thermodynamics, chemical equilibrium, and introductory organic chemistry.
General Physics (Algebra Based)
An algebra-based introductory physics sequence mapping out mechanics, thermodynamics, waves, electricity, magnetism, and optics.
University Physics (Calculus Based)
A rigorous, calculus-based sequence designed for advanced tracking, science, and engineering paths. Covers classical mechanics, thermodynamics, electromagnetism, optics, and modern relativity metrics.
Introduction To Computer Science
Introduces core computational logic, data structures, algorithms, and practical hardware frameworks.
Introduction to Python Programming
A foundational guide to computer programming using Python. Covers variables, control loops, custom functions, and basic syntax with structured problem-solving activities.
Principles of Data Science & Analysis
Explores data analysis ecosystems, programming methodologies, ethical data handling, and algorithmic tracking models using applied toolsets.