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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

    • Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      208 reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Colorado Boulder

      Basic Robotic Behaviors and Odometry

      Skills you'll gain: Automation, Simulation and Simulation Software, Mechanics, Algorithms, Control Systems, Simulations, Engineering, Linear Algebra, Estimation

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 3 Months

    • University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      École normale supérieure

      Introduction à la théorie de Galois

      Skills you'll gain: Algebra, Linear Algebra, Combinatorics, Arithmetic, Advanced Mathematics, Mathematics and Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 3 Months

    • Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Cost Estimation, Linear Algebra, Operations Research, Data Analysis, Advanced Mathematics, Mathematical Software, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      344 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Hebrew University of Jerusalem

      Invitation to Mathematics הזמנה למתמטיקה

      Skills you'll gain: Calculus, Advanced Mathematics, Integral Calculus, Trigonometry, Mathematical Theory & Analysis, Geometry, Algebra, Applied Mathematics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

    • IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Maryland, College Park

      Exploring Quantum Physics

      Skills you'll gain: Physics, Quantitative Research, Science and Research, Mechanics, Physical Science, Chemistry, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Engineering Analysis, Differential Equations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Computer Science, Programming Principles, Advanced Mathematics, Design Strategies, Linear Algebra, Mathematical Theory & Analysis, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Koç University

      Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

      Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Mixed · Course · 1 - 3 Months

    • Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Quantum Information

      Skills you'll gain: Emerging Technologies, Digital Communications, Encryption, Theoretical Computer Science, Cryptography, Linear Algebra, Algorithms, Computational Thinking, Information Technology, Physics, Simulations, Mathematical Modeling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      121 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to Electricity and Magnetism: Rice University
    • Basic Robotic Behaviors and Odometry : University of Colorado Boulder
    • Computer Vision Basics: University at Buffalo
    • Introduction à la théorie de Galois: École normale supérieure
    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Invitation to Mathematics הזמנה למתמטיקה: Hebrew University of Jerusalem
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Exploring Quantum Physics: University of Maryland, College Park
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts: Koç 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)
    Algebra (10)
    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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