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    College Algebra Courses Online

    Master college algebra for solving mathematical problems. Learn about functions, equations, inequalities, and graphing.

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    Explore the College Algebra Course Catalog

    • Status: New AI skills
      New AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Security, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, TCP/IP, Information Systems Security, File Systems, Microsoft Windows, Desktop Support, Network Protocols, Lightweight Directory Access Protocols, Cybersecurity, Encryption, Computer Hardware, Technical Support, Software Installation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      202K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 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, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, 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

    • I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K 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

    • 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

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Maryland, College Park

      Product Ideation, Design, and Management

      Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, User Experience Design, Team Leadership, Prototyping, Competitive Analysis, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Corporate Finance, Target Market, Market Opportunities, Ideation, Product Improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      680 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Management

      Skills you'll gain: Mergers & Acquisitions, Working Capital, Revenue Recognition, Financial Statements, Credit Risk, Accrual Accounting, Financial Analysis, Investments, Corporate Finance, Business Valuation, Financial Statement Analysis, Cash Flows, Financial Accounting, Bookkeeping, Financial Management, Income Statement, Business Ethics, Finance, Return On Investment, Portfolio Management

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    1234…74

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

    • Google IT Support: Google
    • IBM Data Analyst: IBM
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Data Analysis and Visualization Foundations: IBM
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • Reinforcement Learning: University of Alberta
    • Product Ideation, Design, and Management: University of Maryland, College Park
    • Data Science Fundamentals with Python and SQL: IBM

    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 College Algebra

    College Algebra is a foundational mathematics course typically taken by college students. It covers various algebraic concepts, such as equations, inequalities, functions, graphs, matrices, and logarithms. The course aims to develop students' problem-solving skills and mathematical reasoning abilities, ensuring they have a strong foundation in algebra before advancing to higher-level math courses. College Algebra is often a prerequisite for advanced math and science courses and is beneficial for students pursuing degrees in fields such as engineering, computer science, economics, and the physical sciences.‎

    To successfully tackle College Algebra, it is beneficial to develop certain skills. Here are some key skills you should focus on learning:

    1. Basic arithmetic: Ensure you have a strong foundation in arithmetic operations like addition, subtraction, multiplication, and division. Familiarize yourself with fractions, decimals, and percentages as well.

    2. Algebraic properties: Understand and apply the laws of algebra, such as the distributive property, associative property, and commutative property. This will help you manipulate algebraic expressions and equations effectively.

    3. Solving equations: Learn various techniques for solving equations, including linear equations, quadratic equations, and systems of equations. Practice carrying out these methods to develop proficiency.

    4. Graphing: Gain proficiency in graphing various types of functions, including linear equations, quadratic equations, and exponential functions. Learn how to interpret graphs and understand the relationship between equations and their graphical representations.

    5. Function analysis: Develop the ability to analyze the properties of functions, such as domain, range, intercepts, and transformations. Understanding function behavior will be vital throughout College Algebra.

    6. Mathematical modeling: Learn how to create mathematical models to represent real-world situations. Practice translating verbal descriptions into algebraic expressions and equations.

    7. Problem-solving: Enhance your problem-solving skills by solving a variety of algebraic problems. College Algebra will require you to apply your knowledge to solve complex problems, so practicing different scenarios will help you become more adept.

    8. Critical thinking and logical reasoning: Cultivate your analytical skills and logical reasoning abilities. This will enable you to approach problems with a strategic mindset and assess multiple solutions.

    Remember, the key to mastering College Algebra lies in regular practice and seeking additional resources, such as textbooks, online tutorials, and video lessons.‎

    Having skills in College Algebra can open avenues for a variety of job opportunities. Some of the common professions that require proficiency in College Algebra include:

    1. Actuary: Actuaries assess and manage risks, particularly in the insurance and finance industries. They use mathematical models and statistical data, making College Algebra skills crucial to their work.

    2. Data Analyst: Data analysts collect, process, and analyze large datasets to derive insights and make data-driven decisions. Proficiency in College Algebra helps them in understanding and manipulating data effectively.

    3. Financial Analyst: Financial analysts evaluate investment opportunities and provide insights on financial performance. College Algebra skills are necessary for handling financial models, calculating risks, and analyzing market trends.

    4. Economist: Economists study how societies allocate resources and make decisions. They often use statistical models and mathematical tools, including College Algebra, to analyze economic trends and predict outcomes.

    5. Survey Researcher: Survey researchers design and conduct surveys to gather information from individuals or groups. Understanding statistical concepts like sampling and data analysis, which are rooted in College Algebra, is essential in their work.

    6. Market Research Analyst: Market research analysts collect and analyze data to understand market conditions, consumer behavior, and competitor strategies. College Algebra skills help them with statistical analysis and data interpretation.

    7. Operations Research Analyst: Operations research analysts use mathematical models and optimization techniques to solve complex problems related to efficiency and decision-making. College Algebra expertise is vital for performing mathematical modeling and analysis.

    8. Software Engineer: Software engineers design, develop, and maintain software applications. Proficiency in College Algebra can be advantageous when working on algorithms, data structures, and problem-solving tasks in the field.

    9. Cryptographer: Cryptographers develop secure communication protocols and encryption algorithms. They heavily rely on College Algebra and number theory concepts to design and analyze cryptographic systems.

    10. Statistician: Statisticians are experts in collecting, analyzing, and interpreting numerical data. College Algebra skills are fundamental for statistical analysis, hypothesis testing, and constructing mathematical models.

    It's important to note that while College Algebra skills are relevant for these professions, they are often just one aspect of the broader skill set required.‎

    College Algebra is best suited for individuals who have a strong foundation in basic math concepts and are comfortable with abstract thinking. It is ideal for students who are pursuing degrees in fields such as mathematics, engineering, computer science, or any other discipline that requires a solid understanding of algebraic principles. Additionally, individuals who enjoy problem-solving, logical reasoning, and critical thinking will find College Algebra to be a suitable course of study.‎

    There are several topics that you can study that are related to College Algebra. Some of the key topics include:

    1) Linear equations and inequalities: This topic covers topics such as solving linear equations and inequalities, graphing linear equations, and systems of linear equations.

    2) Quadratic equations: This topic focuses on solving quadratic equations, graphing quadratic functions, and applying quadratic equations in real-world scenarios.

    3) Exponential and logarithmic functions: This area explores exponential and logarithmic functions, including their properties, equations, and applications.

    4) Rational expressions and functions: This topic covers rational expressions, simplifying and multiplying rational expressions, as well as solving equations involving rational expressions.

    5) Polynomials and polynomial functions: This area delves into various aspects of polynomials, including factoring, long division, synthetic division, and applying polynomial functions.

    6) Matrices and matrix operations: This topic introduces matrices and their operations, including addition, subtraction, multiplication, and finding inverses.

    7) Sequences and series: This area explores arithmetic and geometric sequences, as well as finite and infinite series.

    8) Conic sections: This topic focuses on the study of conic sections, including circles, parabolas, ellipses, and hyperbolas.

    These are just some of the main topics related to College Algebra. By studying these areas, you will develop a strong foundation in algebraic concepts and problem-solving skills that will be useful across various academic and professional domains.‎

    Online College Algebra courses offer a convenient and flexible way to enhance your knowledge or learn new College Algebra is a foundational mathematics course typically taken by college students. It covers various algebraic concepts, such as equations, inequalities, functions, graphs, matrices, and logarithms. The course aims to develop students' problem-solving skills and mathematical reasoning abilities, ensuring they have a strong foundation in algebra before advancing to higher-level math courses. College Algebra is often a prerequisite for advanced math and science courses and is beneficial for students pursuing degrees in fields such as engineering, computer science, economics, and the physical sciences. skills. Choose from a wide range of College Algebra courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in College 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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