University of Colorado Boulder
Essential Linear Algebra for Data Science
University of Colorado Boulder

Essential Linear Algebra for Data Science

James Bird

Instructor: James Bird

9,095 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.5

(155 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 7 hours
Learn at your own pace
Prepare for a degree
Gain insight into a topic and learn the fundamentals.
4.5

(155 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 7 hours
Learn at your own pace
Prepare for a degree

What you'll learn

  • Solve real-world problems using the foundational concept of matrices and explain where those problems might arise.

  • Recognize what a matrix represents in n-dimensional space and how transformations act in that space

  • Identify key properties of any system of equations, such as independence, basis, rank, and more, and what they mean for the overall system.

  • Demonstrate your understanding of projections in lower dimensions, while being able to carry out higher dimension projections for real-world problems

Details to know

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Assessments

13 assignments

Taught in English

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This course is part of the Expressway to Data Science: Essential Math Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

In this module we will learn what a matrix is and what it represents. We will explore how a system of linear equations can be expressed in a neat package via matrices. Lastly, we will delve into coordinate systems and provide visualizations to help you understand matrices in a more well-rounded way.

What's included

13 videos2 assignments

In this module we will learn how to solve a linear system of equations with matrix algebra.

What's included

6 videos2 assignments

In this module we will explore concepts and properties of linear systems. This includes independence, basis, rank, row space, column space, and much more.

What's included

15 videos3 assignments

In this module we will discuss projections and how they work. We will build on a foundation using 2-dimensional projections and explore the concept in higher dimensions over time.

What's included

8 videos3 assignments

In this module we will learn how to compute the determinant of a matrix. Afterwards, Eigenvalues and Eigenvectors will be covered.

What's included

9 videos3 assignments

Instructor

Instructor ratings
4.7 (62 ratings)
James Bird
University of Colorado Boulder
3 Courses13,019 learners

Offered by

Recommended if you're interested in Math and Logic

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Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

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4.5

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