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    • Algebra

    Algebra Courses Online

    Master algebra for solving equations and understanding mathematical relationships. Study linear algebra, quadratic equations, and polynomials.

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    Explore the Algebra Course Catalog

    • J

      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Mathematical Theory & Analysis, Analytical Skills, Probability & Statistics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      723 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Unlock Access to 10,000+ courses with a subscription.

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    • Status: Free
      Free
      U

      University of North Texas

      Math Prep: College & Work Ready

      Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      282 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      583 reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

    • T

      The University of Sydney

      Introduction to Linear Algebra

      Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Álgebra básica

      Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Mixed · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Linear Algebra: Linear Systems and Matrix Equations

      Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      134 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Applied Mathematics, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    What brings you to Coursera today?

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      In summary, here are 10 of our most popular algebra courses

      • Algebra: Elementary to Advanced: Johns Hopkins University
      • Linear Algebra from Elementary to Advanced: Johns Hopkins University
      • Mathematics for Machine Learning: Linear Algebra: Imperial College London
      • Math Prep: College & Work Ready: University of North Texas
      • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
      • Introduction to Linear Algebra: The University of Sydney
      • Álgebra básica: Universidad Nacional Autónoma de México
      • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
      • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
      • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University

      Skills you can learn in Machine Learning

      Python Programming (33)
      Tensorflow (32)
      Deep Learning (30)
      Artificial Neural Network (24)
      Big Data (18)
      Statistical Classification (17)
      Reinforcement Learning (13)
      Bayesian (10)
      Linear Algebra (10)
      Linear Regression (9)
      Numpy (9)

      Frequently Asked Questions about Algebra

      Algebra is a branch of mathematics that deals with symbols and the rules for manipulating those symbols. It involves the study of equations, variables, and relationships between quantities. In algebra, letters and symbols are used to represent numbers and unknown values, allowing us to solve and simplify mathematical expressions and equations. It is an essential foundation for higher-level math courses and is widely used in various fields, such as physics, engineering, economics, and computer science.‎

      To excel in Algebra, you will need to acquire the following skills:

      1. Basic arithmetic: A solid foundation in basic arithmetic operations such as addition, subtraction, multiplication, and division is crucial for solving algebraic equations.

      2. Understanding of mathematical properties: Familiarize yourself with mathematical properties such as the commutative, associative, and distributive properties. These properties play a significant role in manipulating algebraic expressions and equations.

      3. Solving equations: Learn how to solve linear equations, quadratic equations, and systems of equations. Mastering techniques such as factoring, completing the square, and using the quadratic formula will greatly help in solving algebraic equations.

      4. Graphing: Understand how to graph linear functions, quadratic functions, and other types of equations. This skill will allow you to visualize and analyze algebraic concepts.

      5. Algebraic expressions and operations: Gain proficiency in simplifying algebraic expressions, working with exponents, and understanding the rules of algebraic operations like addition, subtraction, multiplication, and division of variables.

      6. Inequalities: Learn how to solve and graph linear and quadratic inequalities. This skill is essential for understanding the concept of inequalities and their applications.

      7. Functions: Acquire knowledge about functions and their properties, including domain, range, evaluating functions, and solving function-related problems.

      8. Rational expressions: Learn how to simplify and perform operations on rational expressions. This skill is important for solving complex algebraic expressions involving fractions.

      9. Polynomials: Understand polynomial functions, factoring, long division of polynomials, and synthetic division. This knowledge is fundamental for solving equations and simplifying expressions.

      10. Problem-solving skills: Enhance your problem-solving abilities by practicing various algebraic problems and equations. Problem-solving skills are crucial for applying algebraic concepts to real-life situations.‎

      Having strong Algebra skills opens up various career opportunities across different fields. Here's a list of some jobs that often require or benefit from Algebra skills:

      1. Actuary: Analyzing data and using mathematical models to assess risk and probabilities, with a focus on insurance and finance.
      2. Data Scientist: Analyzing and interpreting large data sets to derive insights and make data-driven decisions.
      3. Financial Analyst: Using mathematical models to analyze financial data, evaluate investment opportunities, and forecast future trends.
      4. Engineer: Various engineering fields, such as civil, mechanical, or electrical, often involve problem-solving using algebraic principles.
      5. Computer Programmer: Building and developing software using algorithms and logical reasoning, with algebra playing a role in coding and problem-solving.
      6. Architect: Applying mathematical principles, including algebra, to design and construct structures.
      7. Market Research Analyst: Collecting and analyzing data to evaluate market trends, consumer behavior, and potential business opportunities.
      8. Economist: Utilizing mathematical models, including algebraic equations, to study economic trends, forecast outcomes, and inform decision-making.
      9. Science Researcher: Conducting scientific experiments and data analysis, which often involve algebraic calculations.
      10. Statistician: Collecting and interpreting numerical data to provide insight into trends, with algebra being a fundamental component in statistical analysis.

      Remember, this is not an exhaustive list, and Algebra skills can be advantageous in many other professions. It's always a good idea to explore specific industries or job postings to gain a better understanding of how Algebra can be applied in various roles.‎

      People who have strong analytical and logical thinking skills are best suited for studying Algebra. Additionally, individuals who enjoy problem-solving and have a good grasp of basic mathematical concepts will find Algebra to be a suitable subject for them.‎

      Here are some topics related to Algebra that you can study:

      1. Linear Algebra: This topic deals with the study of vector spaces, linear transformations, and systems of linear equations.

      2. Abstract Algebra: It includes the study of algebraic structures like groups, rings, and fields.

      3. Elementary Algebra: This is the fundamental study of algebraic operations, equations, inequalities, exponents, and polynomials.

      4. Number Theory: It focuses on properties and relationships of numbers, including prime numbers, divisibility, and modular arithmetic.

      5. Algebraic Geometry: It combines algebra, geometry, and number theory to study geometric objects defined by polynomial equations.

      6. Boolean Algebra: This topic studies operations on logical values (true or false), and it is used in computer science and digital electronics.

      7. Algebraic Topology: It explores topological spaces using algebraic techniques and concepts such as groups, rings, and homotopy.

      8. Linear Programming: This branch of mathematics uses linear algebra to optimize the allocation of limited resources, often used in optimization and decision-making problems.

      These are just a few examples, but there are many more areas within Algebra that you can explore based on your interests and goals.‎

      Online Algebra courses offer a convenient and flexible way to enhance your knowledge or learn new Algebra is a branch of mathematics that deals with symbols and the rules for manipulating those symbols. It involves the study of equations, variables, and relationships between quantities. In algebra, letters and symbols are used to represent numbers and unknown values, allowing us to solve and simplify mathematical expressions and equations. It is an essential foundation for higher-level math courses and is widely used in various fields, such as physics, engineering, economics, and computer science. skills. Choose from a wide range of Algebra courses offered by top universities and industry leaders tailored to various skill levels.‎

      When looking to enhance your workforce's skills in Algebra, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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