The earlier algebra or calculus used in the recordings is assumed. Keep working notes and review definitions before following a proof or a multistep calculation.
Optional preparation: Free MIT Course: Linear Algebra: Matrices, Eigenvalues and Vector Spaces.
About this course
Study vectors, matrices and transformations in this free Linear Algebra course from Khan Academy. The complete 144-video collection develops the language of vector spaces, systems, linear maps, subspaces, coordinate choices and projections. Its explanations connect operations with geometric and structural meaning, helping a prepared learner understand what a calculation represents and when a relationship can be used.
Course at a glance
| Provider / Teaching team | Khan Academy |
|---|---|
| Platform | YouTube · Khan Academy |
| Access | Free Video |
| Level | Professional |
| Language | English |
| Videos | 144 |
| Video duration | 35h 36m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Work with vectors, matrices and systems of linear equations.
- Explore span, independence, subspaces and the structure of a vector space.
- Interpret a matrix as a transformation and analyze its properties.
- Study projections, bases and alternate coordinate systems.
- Connect calculations with definitions and check the conditions supporting a result.
Skills you’ll gain
- Linear algebra
- Vector spaces
- Matrix transformations
- Subspaces
- Coordinate systems
- Projections
Course Overview
The complete recorded edition covers the three main teaching areas represented in the source: vectors and spaces, matrix transformations and alternate coordinate systems. It includes foundational matrix recordings, structural explanations, demonstrations and later geometric examples. Rather than treating a matrix operation as an isolated rule, the learner can connect it with the map, space or system it describes. All 144 source entries remain available, including supporting recordings that are also found in other mathematics courses. A strong study approach combines a manageable calculation with an explanation of the definitions and conditions behind it.
How to study the course
- Videos 1–36: this part of the source list includes “Introduction to matrices” through “Null space 3: Relation to linear independence”. Write definitions and assumptions explicitly. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 37–72: this part of the source list includes “Column space of a matrix” through “Exploring the solution set of Ax = b”. Track the mathematical objects used in each operation. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 73–108: this part of the source list includes “Matrix condition for one-to-one trans” through “Showing that A-transpose x A is invertible”. Compare a simple example with a less obvious one. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
- Videos 109–144: this part of the source list includes “Projections onto subspaces” through “Distance between planes”. Verify the solution using its defining conditions. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
Who is this for?
This course suits prepared college-level learners and returning students studying the specific advanced topic. It also provides a recorded reference for revisiting a topic after an earlier lesson or study attempt. Choose examples appropriate to your background and allow time to work through the method instead of judging understanding only by how familiar the terminology sounds.
Before you start
The earlier algebra or calculus used in the recordings is assumed. Keep working notes and review definitions before following a proof or a multistep calculation.
Put the lessons into practice
Choose a small set of vectors and examine the relationships taught in the recordings. Organize an appropriate calculation as a matrix problem, identify the relevant space or transformation and explain the result. Change one vector or coefficient and compare the cases. For a coordinate or projection example, state the basis or subspace involved and check that the answer satisfies its defining relationship. Keep a diagram or simple numerical case beside the symbolic work. Finish by explaining one result in terms of the structure it represents rather than only listing the operations performed.
This optional study activity is provided by WikiFree for independent practice. Keep your working notes and use the relevant classroom recording to check a step, definition or interpretation. It is not an instructor-marked assignment.
Certificate / Assessment
Watching the public videos and using WikiFree completion tracking does not award a certificate, academic credit, an examination voucher or instructor assessment. Use your practice output to review what you can explain and repeat independently. The recorded lessons provide study material; completion tracking records your progress through that material.
Related courses for your next step
- Review a lower-level optionFree MIT Course: Linear Algebra: Matrices, Eigenvalues and Vector Spaces
Focus: An Interview with Gilbert Strang on Teaching Linear Algebra · 8. Solving Ax = b: Row Reduced Form R
Intermediate - Review a lower-level optionEssence of Linear Algebra: Free Course
Focus: Vectors · Determinants
Intermediate - Review a lower-level optionFree MIT Course: Linear Algebra Essentials and Matrix Factorization
Focus: Intro: A New Way to Start Linear Algebra · Part 2: The Big Picture of Linear Algebra
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Linear Algebra: Free Course | Professional | Linear algebra · Vector spaces · Matrix transformations | 35h 36m of video; practice time is additional |
| Free MIT Course: Linear Algebra: Matrices, Eigenvalues and Vector Spaces | Intermediate | An Interview with Gilbert Strang on Teaching Linear Algebra · 8. Solving Ax = b: Row Reduced Form R · 17. Orthogonal Matrices and Gram-Schmidt | 35h 49m of video; practice time is additional |
| Essence of Linear Algebra: Free Course | Intermediate | Vectors · Matrix transformations · Determinants | 3h 0m of video; practice time is additional |
| Free MIT Course: Linear Algebra Essentials and Matrix Factorization | Intermediate | Intro: A New Way to Start Linear Algebra · Part 2: The Big Picture of Linear Algebra · Part 4: Eigenvalues and Eigenvectors | 3h 42m of video; practice time is additional |
Frequently asked questions
Is this course free to watch?
Yes. The public source videos are available in the WikiFree classroom. Video viewing does not include separately priced tools, hardware, memberships or a credential.
How long does the course take?
The 144 source video occurrences total approximately 35h 36m. Allow additional time for pausing, notes, practice and revisiting an explanation.
What background do I need?
The earlier algebra or calculus used in the recordings is assumed. Keep working notes and review definitions before following a proof or a multistep calculation.
Does completing the videos award a certificate?
No. Video viewing and WikiFree progress tracking do not award a certificate, academic credit or an exam voucher.
Can I study on a phone?
Yes. The classroom supports a responsive player and searchable lesson list. A larger screen or a suitable practice environment can help with detailed calculations, diagrams and software examples.
Provider: Khan Academy. Videos play from the Khan Academy channel on YouTube.
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