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    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

    • Status: Free
      Free

      University of Pennsylvania

      Single Variable Calculus

      Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      409 reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Algebra and Differential Calculus for Data Science

      Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Mathematical Theory & Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      242 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Pennsylvania

      Calculus: Single Variable Part 2 - Differentiation

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Tecnológico de Monterrey

      1.- El Cálculo - Modelo Lineal

      Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, General Mathematics, Calculus, Applied Mathematics, Algebra, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      UNSW Sydney (The University of New South Wales)

      Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

      Skills you'll gain: Mechanics, Physics, Experimentation, Torque (Physics), Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Trigonometry, Mathematical Modeling, Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      The University of Chicago

      Global Warming I: The Science and Modeling of Climate Change

      Skills you'll gain: Environment, Environmental Issue, Physical Science, Physics, Mathematical Modeling, Thermal Management, Environmental Monitoring, Systems Thinking, Scientific Methods, Simulations, Computational Thinking, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Pennsylvania

      Calculus: Single Variable Part 3 - Integration

      Skills you'll gain: Integral Calculus, Calculus, Applied Mathematics, Differential Equations, Engineering Calculations, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      528 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      National Taiwan University

      Operations Research (1): Models and Applications

      Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Business Modeling, Industrial Engineering, Operations Management, Inventory Control, Resource Allocation, Business Analytics, Production Planning, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      539 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 3 Months

    • Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronic Components, Differential Equations, Physics, Engineering Analysis, Integral Calculus, Applied Mathematics, Advanced Mathematics, Mechanical Engineering, Scientific Visualization, Visualization (Computer Graphics), Engineering Calculations, Calculus, Electronic Systems, Mechanics, Mathematical Modeling, Equipment Design, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      948 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Calculus, Engineering Analysis, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Linear Algebra, Trigonometry, Engineering Calculations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • Single Variable Calculus: University of Pennsylvania
    • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
    • Matrix Methods: University of Minnesota
    • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
    • 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
    • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
    • Global Warming I: The Science and Modeling of Climate Change: The University of Chicago
    • Calculus: Single Variable Part 3 - Integration: University of Pennsylvania
    • Operations Research (1): Models and Applications: National Taiwan University
    • Essential Linear Algebra for Data Science: University of Colorado Boulder

    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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