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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

    • University of Colorado Boulder

      Integral Calculus and Numerical Analysis for Data Science

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      69 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Tecnológico de Monterrey

      Conceptos y Herramientas para la Física Universitaria

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      425 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      École normale supérieure

      Approximation Algorithms Part I

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      École Polytechnique Fédérale de Lausanne

      Mécanique Lagrangienne

      Skills you'll gain: Mechanics, Vibrations, Advanced Mathematics, Physics, Differential Equations, Linear Algebra, Calculus, Mathematical Modeling, Applied Mathematics, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Mixed · Course · 1 - 3 Months

    • The State University of New York

      Data Analytics in Sports Law and Management

      Skills you'll gain: Facility Management, Event Management, Legal Risk, Contract Management, Performance Analysis, Hospitality and Food Services, Facility Operations, Event Planning, Business Analytics, Law, Regulation, and Compliance, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Labor Relations, Customer Engagement, Team Performance Management, Linear Algebra, Risk Management, Commercial Laws

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Precalculus: Periodic Functions

      Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • University of Minnesota

      Optimization for Decision Making

      Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Business Intelligence, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 4 Weeks

    • Universidad de los Andes

      Educación Matemática para profesores de infantil. Curso 2

      Skills you'll gain: Mathematics Education, Arithmetic, Systems Of Measurement, Geometry, Logical Reasoning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free

      Universidad de Palermo

      Matemática para Negocios 

      Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Applied Mathematics, Income Statement, Graphing, Financial Analysis, Business Metrics, Business Analysis, Financial Statements, Business Modeling, Arithmetic, Algebra

      Beginner · Course · 1 - 4 Weeks

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

    • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
    • Machine Learning Basics: Sungkyunkwan University
    • Conceptos y Herramientas para la Física Universitaria: Tecnológico de Monterrey
    • Approximation Algorithms Part I: École normale supérieure
    • Mécanique Lagrangienne: École Polytechnique Fédérale de Lausanne
    • Data Analytics in Sports Law and Management: The State University of New York
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Precalculus: Periodic Functions: Johns Hopkins University
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Optimization for Decision Making: University of Minnesota

    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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