Khan Academy revolutionizes education by providing free, high-quality online courses for learners of all ages. Founded in 2006 by Salman Khan, it empowers students globally to master subjects at their own pace through engaging video lessons and practice exercises.
28 Khan Academy Courses
The Geithner Plan course explores innovative solutions to the banking crisis through detailed module lessons and video content.
Explore the fundamentals of geometry, from angles to triangle theorems, designed for Algebra I students preparing for Trigonometry.
Master GMAT data sufficiency with 155 real problems from the GMAC GMAT Review book, complemented by engaging instructional videos by Sal.
Master GMAT problem solving through comprehensive video lessons based on "The Official Guide for GMAT Review" with detailed explanations for each problem set.
Explore Greece's financial crisis and its global impacts through comprehensive lectures addressing debt, austerity, and potential solutions.
A comprehensive exploration of the French and Haitian Revolutions, analyzing key events and figures that shaped modern history.
Explore the fundamentals of organic chemistry, focusing on molecular structures, naming conventions, reaction mechanisms, and functional groups through comprehensive modules.
Explore the complexities of the Paulson Bailout through detailed modules that analyze financial concepts, risks, and potential solutions in the banking crisis.
Explore the fundamental principles of physics, including motion, projectile trajectories, and electricity, while applying mathematical concepts for a deeper understanding.
Master essential pre-algebra concepts through engaging videos, preparing you for success in algebra and beyond.
Precalculus covers essential non-trigonometric concepts, focusing on limits, sequences, series, and combinatorial principles for a solid foundation in mathematics.
Explore the fundamentals of probability, including coin flips, conditional probability, and Bayes' Theorem, to enhance your understanding of chance and statistical reasoning.
