As one of the Online Courses to Learn Algebra, Matrix Algebra for Engineers is all about matrices, and it covers all of the linear algebra that an engineer needs to know in a simple manner. Although the mathematics in this course is given at a high school level, students should normally take it after finishing a university-level single variable calculus course. This course does not include derivatives or integrals, but students must have a suitable level of mathematical maturity. Anyone interested in learning the fundamentals of matrix algebra is welcome to join.

The course consists of 38 brief lecture films, each with a few tasks to solve. There's also a short practice quiz after each major topic. Lecture notes provided by the lecturer provide solutions to the issues as well as practice quizzes. The course is divided into four weeks, with an assessment question at the end of each week.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 20 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
• Course 1 of 5 in the Mathematics for Engineers Specialization

Coursera Rating: 4.9/5
Enroll here: https://www.coursera.org/learn/matrix-algebra-engineers

Are you interested in Data Science but don't have the necessary math skills? Has math always been a difficult subject for you and one you try to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a slew of irrelevant proofs and notions. Consider this a fast track to Data Science, with easy-to-understand approaches and concepts that will help you grasp the most significant topics in Linear Algebra.

This course is meant to help students succeed in the Statistical Modeling for Data Science Application course, which is part of the Master of Science in Data Science (MS-DS) program at CU Boulder.

This course offers:

• Flexible deadlines: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 8 hours to complete
  
• Subtitles: English
• Course 2 of 3 in the Expressway to Data Science: Essential Math Specialization

Coursera Rating: 4.8/5
Enroll here: https://www.coursera.org/learn/essential-linear-algebra-for-data-science

With Linear Algebra and Geometry 1, you can learn: some fundamental principles that will be applied throughout the course. The majority of them are familiar from high school mathematics classes, while others are new; the latter will occur later in the course and will be discussed in greater depth at that time. Some basic notions concerning linear equations and systems of linear equations will be covered, as well as the geometry behind systems of linear equations.

In cases of systems with unique solutions, inconsistent systems, and systems with infinitely many solutions, you will learn how to solve systems of linear equations using Gaussian elimination (and back-substitution) and Gauss—Jordan elimination (parameter solutions). You'll discover how linear equation systems are employed in different disciplines of mathematics and the sciences.

Requirements:

• High-school maths, mainly arithmetic, some trigonometry

Who this course is for:

• University and college engineering

Subtitles: English
Udemy Rating: 4.9/5.0
Enroll here: https://www.udemy.com/course/linear-algebra-and-geometry-1/

Algebra: Elementary to Advanced Specialization, one of the best Online Courses to Learn Algebra, is for students who want to improve their algebra and geometry skills in order to succeed in future courses requiring precalculus and calculus. Throughout the course, students will be taught quantitative skills and reasoning in order to help them think logically, reason with evidence, and make well-informed judgments.

There are several smaller practical and algebra problems scattered throughout the modules of the curriculum, rather than a single huge assignment. Throughout the course, students will be given practice problems with worked solutions to help them prepare and succeed. Problems vary in difficulty to keep students challenged as they apply what they've learned in class.

This course offers:

• Flexible Schedule: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 4 months to complete: Suggested pace of 2 hours/week
  
• Subtitles: English

Coursera Rating: 4.8/5
Enroll here: https://www.coursera.org/specializations/algebra-elementary-to-advanced

Master College Algebra and Trigonometry so you can ace your next Algebra Exam! With our step-by-step video tutorials, you will understand all concepts of College-Level Algebra and Trigonometry, from beginner to advanced, and test your knowledge with over 3500 Practice Test Questions. The principles you'll study will help you succeed in higher math classes like Calculus and Linear Algebra.

During this course, you can review the Basic Concepts: Real Numbers, Order of Operations, Number Line, Absolute Value, Rational Expressions: Lowest Terms, Undefined, Addition, Subtraction, Multiplication, Division, Complex Fraction, Polynomials: Adding, Subtracting, Multiplying, Dividing, Synthetic Division, Factoring and Radical Expressions: Radical Notation, Simplifying a Radical, Operations with Radicals, Rationalizing Denominators. Also, you can learn a myriad of things involving this course.

Requirements:

• Basic Arithmetic (Addition, Subtraction, Multiplication, Division)
• Pre-Algebra (Must Have)
• Basic Algebra (Algebra 1) (Highly Suggested)
• Intermediate Algebra (Algebra 2) (Highly Suggested)

Who this course is for:

• Students who need a complete understanding of Advanced Algebra
  
• Students currently enrolled in a College Level Algebra Course
  
• Students currently enrolled in a Pre-Calculus Course
  
• Students who need to master Algebra in order to fully prepare for Calculus

Subtitles: English
Udemy Rating: 4.8/5.0
Enroll here: https://www.udemy.com/course/advanced-college-algebra-explained/

This 473-lesson course offers video and text explanations of everything from Algebra to Calculus, as well as 125 tests (with solutions!) and 21 workbooks with additional practice problems to help you test your understanding along the way. The portions of How to Become an Algebra Master are as follows:

• Operations and rules of equations
  
• Simple equations and advanced equations
  
• Like terms
  
• Functions and manipulating functions
  
• Inequalities and graphing inequalities
  
• Graphing points, lines, parabolas, and circles
  
• Systems of two equations and systems of three equations
  
• Polynomials and factoring
  
• Exponents and radicals
  
• Ratio and proportion, complex fractions, and rational expressions
  
• Imaginary numbers
  
• Exponential and logarithmic functions

Requirements:

• You should be comfortable with arithmetic (addition, subtraction, multiplication, division) of whole numbers.
  
• You should be comfortable with arithmetic of decimals, fractions, exponents, and radicals.
  
• Starting with basic algebraic operations, so if you know those arithmetic basics, you'll be well prepared for the course.

Who this course is for:

• Current Algebra 1 and Algebra 2 students, or students about to start algebra who are looking to get ahead
  
• Homeschool parents looking for extra support with algebra
  
• Anyone who wants to study math for fun after being away from school for a while

Subtitles: English [Auto], Dutch [Auto], French [Auto], Italian [Auto], Polish [Auto], Portuguese [Auto], Spanish [Auto]
Udemy Rating: 4.7/5.0
Enroll here:https://www.udemy.com/course/integralcalc-algebra/

Algebra: Elementary to Advanced - Equations & Inequalities is designed for students who want to build a strong algebraic foundation in fundamental mathematical ideas before moving on to more complex courses involving precalculus, calculus, probability, and statistics. This course will assist you in solidifying your computational approaches, reviewing algebraic formulae and properties, and applying these principles to real-world scenarios.

Any student who will use algebraic skills in future mathematics courses should take this course. Real numbers, inequalities, polynomials, rational expressions and equations, graphs, relations and functions, radicals and exponents, and quadratic equations are among the topics covered.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 10 hours to complete
  
• Subtitles: English
• Course 1 of 3 in the Algebra: Elementary to Advanced Specialization

Coursera Rating: 4.9/5
Enroll here: https://www.coursera.org/learn/algebra-i

Mathematics for Machine Learning: Linear Algebra is one of the Online Courses to Learn Algebra which looks at what linear algebra is and how it relates to vectors and matrices in this Linear Algebra course. Then we'll go through what vectors and matrices are and how to utilize them to solve issues, including the tricky problem of eigenvalues and eigenvectors. Finally, we'll look at how to use these to do fun things with datasets, such as rotating photographs of faces and extracting eigenvectors to investigate the Pagerank algorithm.

You'll create code blocks and use Jupyter notebooks in Python toward the conclusion of the course, but don't worry; these will be brief, focused on the principles, and will walk you through if you've never coded before.

You will have an intuitive knowledge of vectors and matrices at the end of this course, which will help you bridge the gap into linear algebra issues and apply these principles to machine learning.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 19 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
• Course 1 of 3 in the Mathematics for Machine Learning Specialization

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/linear-algebra-machine-learning

Master Algebra 1 so you can ace your next exam! With our step-by-step tutorials, written lessons, practice sets, practice exams, and quizzes, you will grasp the principles of Algebra 1 in this course. ALL PRACTICE AND QUIZ PROBLEMS ARE COMPLETELY SOLVED WITH STEP-BY-STEP SOLUTION VIDEOS AS AN OPTION.

Higher math subjects like Algebra 2, Geometry, Trigonometry, and Calculus rely heavily on the principles you'll study. Variables and expressions will be covered first, followed by solving linear equations, linear inequalities, graphing linear equations in two variables, functions, exponent rules, scientific notation, polynomial operations, factoring, rational expressions, radicals, and finally solving quadratic equations.

Requirements:

• Basic Math (addition, subtraction, multiplication, and division)
• Pre-Algebra

Who this course is for:

• Anyone who wants to Master Algebra 1 and get ready for Algebra 2, Geometry, and college level math
  
• Homeschool students who want extra help with Algebra
  
• Students who need an Algebra refresher

Subtitles: English
Udemy Rating: 4.7/5.0
Enroll here: https://www.udemy.com/course/algebracourse7245/

Machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analysis, matrix decompositions, signal processing, and other computational sciences rely heavily on linear algebra.

Professionals use linear algebra in computers to solve real-world applications in machine learning, data science, statistics, and signal processing. The way linear algebra is presented in 30-year-old textbooks is different from how professionals use linear algebra in computers to solve real-world applications in machine learning, data science, statistics, and signal processing. The "determinant" of a matrix, for example, is crucial in linear algebra theory, but should you utilize it in practical applications? The solution may astound you, and it's right here in this course!

Complete linear algebra: theory and implementation in code is for you if you wish to understand the mathematical ideas of linear algebra and matrix analysis, as well as how to apply such concepts to data analytics on computers (e.g., statistics or signal processing). All of the math ideas will be implemented in MATLAB and Python.

Requirements:

• Basic understanding of high-school algebra (e.g., solve for x in 2x=5)
  
• Interest in learning about matrices and vectors!
  
• (optional) Computer with MATLAB, Octave, or Python (or Jupyter)

Who this course is for:

• Anyone interested in learning about matrices and vectors
  
• Students who want supplemental instruction/practice for a linear algebra course
  
• Engineers who want to refresh their knowledge of matrices and decompositions
  
• Biologists who want to learn more about the math behind computational biology
  
• Data scientists (linear algebra is everywhere in data science!)
  
• Statisticians
  
• Someone who wants to know the important math underlying machine learning
  
• Someone who studied theoretical linear algebra and who wants to implement concepts in computers
  
• Computational scientists (statistics, biological, engineering, neuroscience, psychology, physics, etc.)
  
• Someone who wants to learn about eigendecomposition, diagonalization, and singular value decomposition!
  
• Artificial intelligence students

Subtitles: English
Udemy Rating: 4.7/5.0
Enroll here: https://www.udemy.com/course/linear-algebra-theory-and-implementation/