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Become a Linear Algebra Master

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Krista King

14:54:43

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  • 001 Hi! START HERE Course overview.mp4
    01:26
  • 002 Download the formula sheet.html
  • 002 Linear-Algebra.formulas.pdf
  • 003 Become-a-Linear-Algebra-Master.zip
  • 003 The EVERYTHING download.html
  • 001 Introduction to operations on one matrix.mp4
    01:24
  • 002 Gauss-Jordan-elimination.pdf
  • 002 Linear-systems-in-three-unknowns.pdf
  • 002 Linear-systems-in-two-unknowns.pdf
  • 002 Matrix-dimensions-and-entries.pdf
  • 002 Number-of-solutions-to-a-linear-system.pdf
  • 002 Pivot-entries-and-row-echelon-forms.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Representing-systems-with-matrices.pdf
  • 002 Simple-row-operations.pdf
  • 003 Linear systems in two unknowns.html
  • 003 Linear-systems-in-two-unknowns.pdf
  • 004 Linear systems in two unknowns.mp4
    12:16
  • 005 Linear systems in three unknowns.html
  • 005 Linear-systems-in-three-unknowns.pdf
  • 006 Linear systems in three unknowns.mp4
    10:20
  • 007 Matrix dimensions and entries.html
  • 007 Matrix-dimensions-and-entries.pdf
  • 008 Matrix dimensions and entries.mp4
    06:07
  • 009 Representing systems with matrices.html
  • 009 Representing-systems-with-matrices.pdf
  • 010 Representing systems with matrices.mp4
    09:58
  • 011 Simple row operations.html
  • 011 Simple-row-operations.pdf
  • 012 Simple row operations.mp4
    10:14
  • 013 Pivot entries and row-echelon forms.html
  • 013 Pivot-entries-and-row-echelon-forms.pdf
  • 014 Pivot entries and row-echelon forms.mp4
    16:18
  • 015 Gauss-Jordan elimination.html
  • 015 Gauss-Jordan-elimination.pdf
  • 016 Gauss-Jordan elimination.mp4
    13:56
  • 017 Number of solutions to the linear system.html
  • 017 Number-of-solutions-to-the-linear-system.pdf
  • 018 Number of solutions to the linear system.mp4
    13:19
  • 019 BONUS! Extra practice problems. ).html
  • 019 Workbook.operations-on-one-matrix.pdf
  • 019 Workbook.operations-on-one-matrix.solutions.pdf
  • 001 Introduction to operations on two matrices.mp4
    01:17
  • 002 Identity-matrices.pdf
  • 002 Matrix-addition-and-subtraction.pdf
  • 002 Matrix-multiplication.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Scalar-multiplication.pdf
  • 002 The-elimination-matrix.pdf
  • 002 Zero-matrices.pdf
  • 003 Matrix addition and subtraction.html
  • 003 Matrix-addition-and-subtraction.pdf
  • 004 Matrix addition and subtraction.mp4
    09:48
  • 005 Scalar multiplication.html
  • 005 Scalar-multiplication.pdf
  • 006 Scalar multiplication.mp4
    06:05
  • 007 Zero matrices.html
  • 007 Zero-matrices.pdf
  • 008 Zero matrices.mp4
    04:06
  • 009 Matrix multiplication.html
  • 009 Matrix-multiplication.pdf
  • 010 Matrix multiplication.mp4
    11:51
  • 011 Identity matrices.html
  • 011 Identity-matrices.pdf
  • 012 Identity matrices.mp4
    09:23
  • 013 The elimination matrix.html
  • 013 The-elimination-matrix.pdf
  • 014 The elimination matrix.mp4
    13:19
  • 015 BONUS! Extra practice problems. ).html
  • 015 Workbook.operations-on-two-matrices.pdf
  • 015 Workbook.operations-on-two-matrices.solutions.pdf
  • 001 Introduction to matrices as vectors.mp4
    01:17
  • 002 Basis.pdf
  • 002 Linear-combinations-and-span.pdf
  • 002 Linear-independence-in-three-dimensions.pdf
  • 002 Linear-independence-in-two-dimensions.pdf
  • 002 Linear-subspaces.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Spans-as-subspaces.pdf
  • 002 Unit-vectors-and-basis-vectors.pdf
  • 002 Vectors.pdf
  • 002 Vector-operations.pdf
  • 003 Vectors.html
  • 003 Vectors.pdf
  • 004 Vectors.mp4
    08:54
  • 005 Vector operations.html
  • 005 Vector-operations.pdf
  • 006 Vector operations.mp4
    10:49
  • 007 Unit vectors and basis vectors.html
  • 007 Unit-vectors-and-basis-vectors.pdf
  • 008 Unit vectors and basis vectors.mp4
    16:10
  • 009 Linear combinations and span.html
  • 009 Linear-combinations-and-span.pdf
  • 010 Linear combinations and span.mp4
    13:28
  • 011 Linear independence in two dimensions.html
  • 011 Linear-independence-in-two-dimensions.pdf
  • 012 Linear independence in two dimensions.mp4
    13:55
  • 013 Linear independence in three dimensions.html
  • 013 Linear-independence-in-three-dimensions.pdf
  • 014 Linear independence in three dimensions.mp4
    09:38
  • 015 Linear subspaces.html
  • 015 Linear-subspaces.pdf
  • 016 Linear subspaces.mp4
    13:38
  • 017 Spans as subspaces.html
  • 017 Spans-as-subspaces.pdf
  • 018 Spans as subspaces.mp4
    09:22
  • 019 Basis.html
  • 019 Basis.pdf
  • 020 Basis.mp4
    17:15
  • 021 BONUS! Extra practice problems. ).html
  • 021 Workbook.matrices-as-vectors.pdf
  • 021 Workbook.matrices-as-vectors.solutions.pdf
  • 001 Introduction to dot products and cross products.mp4
    01:11
  • 002 Angle-between-vectors.pdf
  • 002 Cauchy-Schwarz-inequality.pdf
  • 002 Cross-products.pdf
  • 002 Dot-and-cross-products-as-opposite-ideas.pdf
  • 002 Dot-products.pdf
  • 002 Equation-of-a-plane-and-normal-vectors.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Vector-triangle-inequality.pdf
  • 003 Dot products.html
  • 003 Dot-products.pdf
  • 004 Dot products.mp4
    10:35
  • 005 Cauchy-Schwarz inequality.html
  • 005 Cauchy-Schwarz-inequality.pdf
  • 006 Cauchy-Schwarz inequality.mp4
    08:05
  • 007 Vector triangle inequality.html
  • 007 Vector-triangle-inequality.pdf
  • 008 Vector triangle inequality.mp4
    10:27
  • 009 Angle between vectors.html
  • 009 Angle-between-vectors.pdf
  • 010 Angle between vectors.mp4
    09:05
  • 011 Equation of a plane, and normal vectors.html
  • 011 Equation-of-a-plane-and-normal-vectors.pdf
  • 012 Equation of a plane, and normal vectors.mp4
    09:09
  • 013 Cross products.html
  • 013 Cross-products.pdf
  • 014 Cross products.mp4
    14:23
  • 015 Dot and cross products as opposite ideas.html
  • 015 Dot-and-cross-products-as-opposite-ideas.pdf
  • 016 Dot and cross products as opposite ideas.mp4
    13:38
  • 017 BONUS! Extra practice problems. ).html
  • 017 Workbook.dot-products-and-cross-products.pdf
  • 017 Workbook.dot-products-and-cross-products.solutions.pdf
  • 001 Introduction to matrix-vector products.mp4
    01:09
  • 002 Dimensionality-nullity-and-rank.pdf
  • 002 Multiplying-matrices-by-vectors.pdf
  • 002 Null-space-of-a-matrix.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Solving-Ax-b.pdf
  • 002 The-column-space-and-Ax-b.pdf
  • 002 The-null-space-and-Ax-O.pdf
  • 003 Multiplying matrices by vectors.html
  • 003 Multiplying-matrices-by-vectors.pdf
  • 004 Multiplying matrices by vectors.mp4
    08:32
  • 005 The null space and Ax=O.html
  • 005 The-null-space-and-Ax-O.pdf
  • 006 The null space and Ax=O.mp4
    20:24
  • 007 Null space of a matrix.html
  • 007 Null-space-of-a-matrix.pdf
  • 008 Null space of a matrix.mp4
    16:20
  • 009 The column space and Ax=b.html
  • 009 The-column-space-and-Ax-b.pdf
  • 010 The column space and Ax=b.mp4
    17:17
  • 011 Solving Ax=b.html
  • 011 Solving-Ax-b.pdf
  • 012 Solving Ax=b.mp4
    16:46
  • 013 Dimensionality, nullity, and rank.html
  • 013 Dimensionality-nullity-and-rank.pdf
  • 014 Dimensionality, nullity, and rank.mp4
    09:40
  • 015 BONUS! Extra practice problems. ).html
  • 015 Workbook.matrix-vector-products.pdf
  • 015 Workbook.matrix-vector-products.solutions.pdf
  • 001 Introduction to transformations.mp4
    01:22
  • 002 Adding-and-scaling-linear-transformations.pdf
  • 002 Compositions-of-linear-transformations.pdf
  • 002 Functions-and-transformations.pdf
  • 002 Linear-transformations-as-matrix-vector-products.pdf
  • 002 Linear-transformations-as-rotations.pdf
  • 002 Preimage-image-and-the-kernel.pdf
  • 002 Projections-as-linear-transformations.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Transformation-matrices-and-the-image-of-the-subset.pdf
  • 003 Functions and transformations.html
  • 003 Functions-and-transformations.pdf
  • 004 Functions and transformations.mp4
    12:42
  • 005 Transformation matrices and the image of the subset.html
  • 005 Transformation-matrices-and-the-image-of-the-subset.pdf
  • 006 Transformation matrices and the image of the subset.mp4
    19:28
  • 007 Preimage, image, and the kernel.html
  • 007 Preimage-image-and-the-kernel.pdf
  • 008 Preimage, image, and the kernel.mp4
    10:15
  • 009 Linear transformations as matrix-vector products.html
  • 009 Linear-transformations-as-matrix-vector-products.pdf
  • 010 Linear transformations as matrix-vector products.mp4
    14:49
  • 011 Linear transformations as rotations.html
  • 011 Linear-transformations-as-rotations.pdf
  • 012 Linear transformations as rotations.mp4
    05:49
  • 013 Adding and scaling linear transformations.html
  • 013 Adding-and-scaling-linear-transformations.pdf
  • 014 Adding and scaling linear transformations.mp4
    09:29
  • 015 Projections as linear transformations.html
  • 015 Projections-as-linear-transformations.pdf
  • 016 Projections as linear transformations.mp4
    15:52
  • 017 Compositions of linear transformations.html
  • 017 Compositions-of-linear-transformations.pdf
  • 018 Compositions of linear transformations.mp4
    10:00
  • 019 BONUS! Extra practice problems. ).html
  • 019 Workbook.transformations.pdf
  • 019 Workbook.transformations.solutions.pdf
  • 001 Introduction to inverses.mp4
    01:27
  • 002 Inverse-of-a-transformation.pdf
  • 002 Inverse-transformations-are-linear.pdf
  • 002 Invertibility-from-the-matrix-vector-product.pdf
  • 002 Matrix-inverses-and-invertible-and-singular-matrices.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Solving-systems-with-inverse-matrices.pdf
  • 003 Inverse of a transformation.html
  • 003 Inverse-of-a-transformation.pdf
  • 004 Inverse of a transformation.mp4
    14:39
  • 005 Invertibility from the matrix-vector product.html
  • 005 Invertibility-from-the-matrix-vector-product.pdf
  • 006 Invertibility from the matrix-vector product.mp4
    16:23
  • 007 Inverse transformations are linear.html
  • 007 Inverse-transformations-are-linear.pdf
  • 008 Inverse transformations are linear.mp4
    09:54
  • 009 Matrix inverses, and invertible and singular matrices.html
  • 009 Matrix-inverses-and-invertible-and-singular-matrices.pdf
  • 010 Matrix inverses, and invertible and singular matrices.mp4
    11:36
  • 011 Solving systems with inverse matrices.html
  • 011 Solving-systems-with-inverse-matrices.pdf
  • 012 Solving systems with inverse matrices.mp4
    08:39
  • 013 BONUS! Extra practice problems. ).html
  • 013 Workbook.inverses.pdf
  • 013 Workbook.inverses.solutions.pdf
  • 001 Introduction to determinants.mp4
    00:55
  • 002 Cramers-rule-for-solving-systems.pdf
  • 002 Determinants.pdf
  • 002 Modifying-determinants.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Upper-and-lower-triangular-matrices.pdf
  • 002 Using-determinants-to-find-area.pdf
  • 003 Determinants.html
  • 003 Determinants.pdf
  • 004 Determinants.mp4
    20:21
  • 005 Cramers rule for solving systems.html
  • 005 Cramers-rule-for-solving-systems.pdf
  • 006 Cramers rule for solving systems.mp4
    15:47
  • 007 Modifying determinants.html
  • 007 Modifying-determinants.pdf
  • 008 Modifying determinants.mp4
    09:52
  • 009 Upper and lower triangular matrices.html
  • 009 Upper-and-lower-triangular-matrices.pdf
  • 010 Upper and lower triangular matrices.mp4
    16:59
  • 011 Using determinants to find area.html
  • 011 Using-determinants-to-find-area.pdf
  • 012 Using determinants to find area.mp4
    08:28
  • 013 BONUS! Extra practice problems. ).html
  • 013 Workbook.determinants.pdf
  • 013 Workbook.determinants.solutions.pdf
  • 001 Introduction to transposes.mp4
    00:58
  • 002 Null-and-column-spaces-of-the-transpose.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 The-product-of-a-matrix-and-its-transpose.pdf
  • 002 Transposes-and-their-determinants.pdf
  • 002 Transposes-of-products-sums-and-inverses.pdf
  • 003 Transposes and their determinants.html
  • 003 Transposes-and-their-determinants.pdf
  • 004 Transposes and their determinants.mp4
    09:14
  • 005 Transposes of products, sums, and inverses.html
  • 005 Transposes-of-products-sums-and-inverses.pdf
  • 006 Transposes of products, sums, and inverses.mp4
    12:39
  • 007 Null and column spaces of the transpose.html
  • 007 Null-and-column-spaces-of-the-transpose.pdf
  • 008 Null and column spaces of the transpose.mp4
    21:21
  • 009 The product of a matrix and its transpose.html
  • 009 The-product-of-a-matrix-and-its-transpose.pdf
  • 010 The product of a matrix and its transpose.mp4
    07:04
  • 011 BONUS! Extra practice problems. ).html
  • 011 Workbook.transposes.pdf
  • 011 Workbook.transposes.solutions.pdf
  • 001 Introduction to orthogonality and change of basis.mp4
    01:29
  • 002 Coordinates-in-a-new-basis.pdf
  • 002 Least-squares-solution.pdf
  • 002 Orthogonal-complements.pdf
  • 002 Orthogonal-complements-of-the-fundamental-subspaces.pdf
  • 002 Projection-onto-the-subspace.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 002 Transformation-matrix-for-a-basis.pdf
  • 003 Orthogonal complements.html
  • 003 Orthogonal-complements.pdf
  • 004 Orthogonal complements.mp4
    15:35
  • 005 Orthogonal complements of the fundamental subspaces.html
  • 005 Orthogonal-complements-of-the-fundamental-subspaces.pdf
  • 006 Orthogonal complements of the fundamental subspaces.mp4
    15:49
  • 007 Projection onto the subspace.html
  • 007 Projection-onto-the-subspace.pdf
  • 008 Projection onto the subspace.mp4
    18:36
  • 009 Least squares solution.html
  • 009 Least-squares-solution.pdf
  • 010 Least squares solution.mp4
    18:52
  • 011 Coordinates in a new basis.html
  • 011 Coordinates-in-a-new-basis.pdf
  • 012 Coordinates in a new basis.mp4
    15:32
  • 012 Coordinates-in-a-new-basis.pdf
  • 013 Transformation matrix for a basis.html
  • 013 Transformation-matrix-for-a-basis.pdf
  • 014 Transformation matrix for a basis.mp4
    14:32
  • 015 BONUS! Extra practice problems. ).html
  • 015 Workbook.orthogonality-and-change-of-basis.pdf
  • 015 Workbook.orthogonality-and-change-of-basis.solutions.pdf
  • 001 Introduction to orthonormal bases and Gram-Schmidt.mp4
    01:09
  • 002 Gram-Schmidt-process-for-change-of-basis.pdf
  • 002 Orthonormal-bases.pdf
  • 002 Projection-onto-an-orthonormal-basis.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 003 Orthonormal bases.html
  • 003 Orthonormal-bases.pdf
  • 004 Orthonormal bases.mp4
    09:49
  • 005 Projection onto an orthonormal basis.html
  • 005 Projection-onto-an-orthonormal-basis.pdf
  • 006 Projection onto an orthonormal basis.mp4
    09:06
  • 007 Gram-Schmidt process for change of basis.html
  • 007 Gram-Schmidt-process-for-change-of-basis.pdf
  • 008 Gram-Schmidt process for change of basis.mp4
    16:56
  • 009 BONUS! Extra practice problems. ).html
  • 009 Workbook.orthonormal-bases-and-gram-schmidt.pdf
  • 009 Workbook.orthonormal-bases-and-gram-schmidt.solutions.pdf
  • 001 Introduction to Eigenvalues and Eigenvectors.mp4
    00:56
  • 002 Eigenvalues-eigenvectors-eigenspaces.pdf
  • 002 Eigen-in-three-dimensions.pdf
  • 002 RESOURCE Quiz solutions for this section.html
  • 003 Eigenvalues, eigenvectors, eigenspaces.html
  • 003 Eigenvalues-eigenvectors-eigenspaces.pdf
  • 004 Eigenvalues, eigenvectors, eigenspaces.mp4
    21:33
  • 005 Eigen in three dimensions.html
  • 005 Eigen-in-three-dimensions.pdf
  • 006 Eigen in three dimensions.mp4
    16:09
  • 007 BONUS! Extra practice problems. ).html
  • 007 Workbook.eigenvalues-and-eigenvectors.pdf
  • 007 Workbook.eigenvalues-and-eigenvectors.solutions.pdf
  • 001 Linear-Algebra.Final-Exam.Practice-1.pdf
  • 001 Linear-Algebra.Final-Exam.Solutions.Practice-1.pdf
  • 001 Practice final exam #1 (optional).html
  • 002 Linear-Algebra.Final-Exam.Practice-2.pdf
  • 002 Linear-Algebra.Final-Exam.Solutions.Practice-2.pdf
  • 002 Practice final exam #2 (optional).html
  • 003 Linear Algebra final exam.html
  • 003 Linear-Algebra.Final-Exam.Solutions.pdf
  • 003 Linear-Algebra.Final-Exam.pdf
  • 004 Wrap-up.mp4
    00:24

    • Description

    Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

    What You'll Learn?

    • Operations on one matrix, including solving linear systems, and Gauss-Jordan elimination
    • Operations on two matrices, including matrix multiplication and elimination matrices
    • Matrices as vectors, including linear combinations and span, linear independence, and subspaces
    • Dot products and cross products, including the Cauchy-Schwarz and vector triangle inequalities
    • Matrix-vector products, including the null and column spaces, and solving Ax=b
    • Transformations, including linear transformations, projections, and composition of transformations
    • Inverses, including invertible and singular matrices, and solving systems with inverse matrices
    • Determinants, including upper and lower triangular matrices, and Cramer's rule
    • Transposes, including their determinants, and the null (left null) and column (row) spaces of the transpose
    • Orthogonality and change of basis, including orthogonal complements, projections onto a subspace, least squares, and changing the basis
    • Orthonormal bases and Gram-Schmidt, including definition of the orthonormal basis, and converting to an orthonormal basis with the Gram-Schmidt process
    • Eigenvalues and Eigenvectors, including finding eigenvalues and their associate eigenvectors and eigenspaces, and eigen in three dimensions

    Who is this for?

  • Current Linear Algebra students, or students about to start Linear Algebra who are looking to get ahead
  • Anyone who wants to study math for fun after being away from school for a while
  • Anyone who needs Linear Algebra as a prerequisite for Machine Learning, Deep Learning, Artificial Intelligence, Computer Programming, Computer Graphics and Animation, Data Analysis, etc.

    • More details

    Description

    HOW BECOME A LINEAR ALGEBRA MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:

    This 247-lesson course includes video and text explanations of everything from Linear Algebra, and it includes 69 quizzes (with solutions!) and an additional 12 workbooks with extra practice problems, to help you test your understanding along the way. Become a Linear Algebra Master is organized into the following sections:

    • Operations on one matrix, including solving linear systems, and Gauss-Jordan elimination

    • Operations on two matrices, including matrix multiplication and elimination matrices

    • Matrices as vectors, including linear combinations and span, linear independence, and subspaces

    • Dot products and cross products, including the Cauchy-Schwarz and vector triangle inequalities

    • Matrix-vector products, including the null and column spaces, and solving Ax=b

    • Transformations, including linear transformations, projections, and composition of transformations

    • Inverses, including invertible and singular matrices, and solving systems with inverse matrices

    • Determinants, including upper and lower triangular matrices, and Cramer's rule

    • Transposes, including their determinants, and the null (left null) and column (row) spaces of the transpose

    • Orthogonality and change of basis, including orthogonal complements, projections onto a subspace, least squares, and changing the basis

    • Orthonormal bases and Gram-Schmidt, including definition of the orthonormal basis, and converting to an orthonormal basis with the Gram-Schmidt process

    • Eigenvalues and Eigenvectors, including finding eigenvalues and their associate eigenvectors and eigenspaces, and eigen in three dimensions



    AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:

    Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

    Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.

    Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

    Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.



    HERE'S WHAT SOME STUDENTS OF BECOME A LINEAR ALGEBRA MASTER HAVE TOLD ME:

    • “Another fantastic course. Provides an academic foundation of linear algebra to prepare for applied or programming-based courses.” - Christopher C.

    • “I have no words to thank Krista for this amazing course, I was really overwhelmed because I had to take a test for a class I couldn't attend and I didn't know anything about linear algebra and surprisingly this course was what I needed, reading the notes before watching the video helped to understand by myself and when I was lost the video content was a great resource, I got a 9 out of 10 in the test, so I highly recommend to take this course, Krista is such a good teacher.” - Alan M.

    • “I started out as a math major in college, and dropped my major during linear algebra. I wish I had this class and this instructor in college. I might have stuck with my major.” - Eric L.

    • “Notes are great, explanations are clear and starting from the beginning. Terrific so far.” - Phil T.

    • “Very clear and has not skipped any steps. If the rest of the course is like this, I will pass my class with no problem.” - Brandon P.

    • “Really well structured and well explained, and there are plenty of exercises to reinforce the knowledge.” - Ashfaque C.



    YOU'LL ALSO GET:

    • Lifetime access to Become a Linear Algebra Master

    • Friendly support in the Q&A section

    • Udemy Certificate of Completion available for download

    • 30-day money back guarantee


    Enroll today!

    I can't wait for you to get started on mastering Linear Algebra.

    - Krista :)

    Who this course is for:

    • Current Linear Algebra students, or students about to start Linear Algebra who are looking to get ahead
    • Anyone who wants to study math for fun after being away from school for a while
    • Anyone who needs Linear Algebra as a prerequisite for Machine Learning, Deep Learning, Artificial Intelligence, Computer Programming, Computer Graphics and Animation, Data Analysis, etc.

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    Linear Algebra

    Krista King
    Krista King
    Instructor's Courses
    Math class was always so frustrating.I’d go to a class, spend hours on homework, and three days later have an “Ah-ha!” moment about how the problems worked that could have slashed my homework time in half.I’d think, “WHY didn’t my teacher just tell me this in the first place?!”So I started tutoring to keep others out of that aggravating, time-sucking cycle. Since then, I’ve recorded tons of videos and written out cheat-sheet style notes and formula sheets to help every math student—from basic middle school classes to advanced college calculus—figure out what’s going on, understand the important concepts, and pass their classes, once and for all.
    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 83
    • duration 14:54:43
    • Release Date 2022/12/13

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