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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

      Requirement Specifications for Autonomous Systems

      Skills you'll gain: Computational Logic, Theoretical Computer Science, System Requirements, Agentic systems, Verification And Validation, Mathematical Modeling, Control Systems, Linear Algebra, Computer Science, Applied Mathematics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Johns Hopkins University

      Foundations of Neural Networks

      Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New

      Emory University

      Mastering Business Essentials: Accounting

      Skills you'll gain: Financial Statements, Return On Investment, Cash Flows, Accounting, Financial Analysis, Income Statement, Balance Sheet, Gross Profit, Financial Reporting, Business Metrics, Cost Accounting, Cash Management, Profit and Loss (P&L) Management, Operating Cost, Equities

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Machine Learning Methods, Network Architecture, Linear Algebra, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • University of Leeds

      Introduction to Technology-Assisted Decision-Making

      Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Algorithms, Linear Algebra

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Pontificia Universidad Católica de Chile

      Fundamentos de sistemas recomendadores

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Predictive Modeling, Statistical Machine Learning, Dimensionality Reduction, Analysis, Linear Algebra, Content Management, Text Mining

      Intermediate · Course · 1 - 3 Months

    • University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Network Visualization and Intervention

      Skills you'll gain: Data Visualization, Network Analysis, Relational Databases, Data Visualization Software, Data Storytelling, Data Literacy, Data Analysis, Data Manipulation, Persuasive Communication, Innovation

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Spacecraft Relative Motion Control

      Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Linear Algebra, Differential Equations, Applied Mathematics

      Advanced · Course · 1 - 4 Weeks

    • Northeastern University

      Industrial Optimization: Models & Linear Programming

      Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Process Optimization, Business Modeling, Complex Problem Solving, Data Analysis Software

      Intermediate · Course · 1 - 4 Weeks

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

    • Requirement Specifications for Autonomous Systems: University of Colorado Boulder
    • Foundations of Neural Networks: Johns Hopkins University
    • Mastering Business Essentials: Accounting: Emory University
    • Introduction to Neural Networks: Johns Hopkins University
    • Foundations of Deep Learning and Neural Networks: Packt
    • Introduction to Technology-Assisted Decision-Making: University of Leeds
    • Fundamentos de sistemas recomendadores: Pontificia Universidad Católica de Chile
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Network Visualization and Intervention: 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)
    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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