This course on Essential Linear Algebra for Data Science teaches Essential Linear Algebra for Data Science fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile, it’s available in language.
This course on Essential Linear Algebra for Data Science teaches Essential Linear Algebra for Data Science fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile. This complete course is available in language.
Learn new concepts from professionals in the field.
Acquire a basic understanding of a topic or skill
Gain practical project experience to enhance employability.
Obtain a career certificate that can be shared.
Topics you will learn
Linear Systems and Gaussian Elimination
13 videos
Introduction to the Course
Linear System and Definition
Three Solution Options and Coordinate System Visualization
Linear System -> Matrix (Coefficient and Augmented)
Rules of G.E. and Solving a Linear System
G.E. Intuition and Simple Example
G.E Example - Single Solution Part 1
G.E Example - Single Solution Part 2
G.E Example - Single Solution Part 3 + Meaning
G.E. Example - Infinite Solutions
G.E. Example - No Solutions
G.E. Advanced Example - Part 1
G.E. Advanced Example - Part 2
2 quizzes
Practice - Linear System -> Matrix Format
LS -> Matrix + G.E. Full Question Quiz
Matrix Algebra
6 videos
Matrix Algebra Sum
Matrix Algebra Scale + Identity Overview
Matrix Multiplication + Small Example
Matrix Multiplication - General Rules
Matrix Multiplication Example
Identity Matrix + Example
2 quizzes
Quiz on Matrix Algebra Sum + Scale
Matrix Multiplication
Properties of a Linear System
15 videos
Introduction to Vectors + Coordinates
Introduction to Linear Combinations
Linear Combinations
Linear Combinations Example
Span
Span Example
Ax = b
Linear Independence
Linear Independence Example Part 1
Linear Independence Example Part 2
Columns of a Matrix Being Linearly Independent
Linear Transformations
Linear Transformations Example
Matrix Inverse
Matrix Inverse Example
3 quizzes
Why do we use matrices and vectors and not just one?
Quiz on Linear Independence
Quiz on Transformations and Inverse
Determinant and Eigens
8 videos
Determinant Intro and 2x2 Example
Inverse of 2x2 Matrix - Quick Method
Determinant of 3x3 Matrix - Overview
Determinant of 3x3 Matrix - Example with 1st Row
Determinant of 3x3 Matrix - Example with 2nd Row
Eigenvalue and Eigenvector - Overview
Finding Eigenvector if Given Eigenvalue
Characteristic Polynomic - Finding Eigenvalues
3 quizzes
Find the Determinant of a 2x2 Matrix
Find Eigenvalue then Eigenvector of a Matrix (2x2)
Find Eigenvalue then Eigenvector of a Matrix (3x3)
Projections and Least Squares
9 videos
Transpose and Inner (Dot) Product
Norm (Length) of a Vector
Unit Vector Creation
Distance Between Two Vectors
Orthogonal Vectors
Orthogonal Projections Part I
Orthogonal Projections Part II
Least Squares Overview
Least Squares Example
3 quizzes
Important Final Concepts
Finding Least Squares Solutions
Final Exam
Course Offerings
Certificate you will get
Certificate Features
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Pre Requsites
Curious Mind to learn new concepts
Strong internet connection
After this Course
Course is for
No results found.
FAQ's
When will I have access to the lectures and assignments?
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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