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    • Mathematics

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    997 results for "mathematics"

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      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Linear Algebra, Logic, Mathematics

      4.8

      (255 reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Analysis, Mathematical Theory & Analysis, Thought, Research and Design, Mathematics, Critical Thinking, Business Analysis, Strategy and Operations, Logic, Numbers (Spreadsheet)

      4.8

      (2.4k reviews)

      Intermediate · Course · 1-3 Months

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      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Algebra, Calculus, Data Analysis, Data Analysis Software, Differential Equations, Linear Algebra, Linearity, Mathematical Theory & Analysis, Mathematics, Matlab, Matrices, Modal Μ-Calculus

      4.8

      (6.1k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Calculus, Derivative, Integral, Algebra, Lambda Calculus, Mathematics

      4.8

      (3k reviews)

      Intermediate · Course · 1-3 Months

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      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Lambda Calculus, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science

      4.6

      (12.8k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Statistical Tests, Statistical Analysis, Correlation And Dependence, Plot (Graphics), Econometrics, Data Analysis, Probability Distribution, Data Visualization, General Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Machine Learning, Probability & Statistics, Statistical Inference, Markov Model, Regression, Experiment, Basic Descriptive Statistics, Probability

      4.5

      (1.3k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of North Texas

      College Math Prep

      Skills you'll gain: Entrepreneurship, Accounting, Financial Accounting, Leadership and Management, Research and Design, Problem Solving, Algebra, Mathematics, Probability & Statistics, Graph Theory, Linear Algebra

      4.2

      (36 reviews)

      Beginner · Course · 1-4 Weeks

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      Free

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      Stanford University

      Game Theory

      Skills you'll gain: Entrepreneurship, Strategy, Mathematics, Research and Design, Strategy and Operations, Game Theory, Marketing, Leadership and Management, Bayesian, Probability & Statistics, Sales

      4.6

      (4.1k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      Wesleyan University

      Introduction to Complex Analysis

      Skills you'll gain: Analysis, Mathematical Theory & Analysis, Mathematics, Algebra

      4.8

      (973 reviews)

      Intermediate · Course · 1-3 Months

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      University of Michigan

      Python for Everybody

      Skills you'll gain: Application Programming Interfaces, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Databases, Extract, Transform, Load, Javascript, Json, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.8

      (251.8k reviews)

      Beginner · Specialization · 3-6 Months

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      Free

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      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Entrepreneurship, Problem Solving, Algebra, Mathematics, Research and Design, Numbers (Spreadsheet), Leadership and Management

      4.8

      (1k reviews)

      Beginner · Course · 1-4 Weeks

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      Free

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      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Statistical Tests, Algorithms, Statistical Machine Learning, Correlation And Dependence, Analysis, Plot (Graphics), Programming Principles, Modeling, Statistical Programming, Theoretical Computer Science, General Statistics, R Programming, Forecasting, Mathematics, Data Visualization, Computer Programming, Probability & Statistics, Time Series, Machine Learning

      4.6

      (1.5k reviews)

      Intermediate · Course · 1-3 Months

    Searches related to mathematics

    mathematics for machine learning
    mathematics for data science
    mathematics for engineers
    mathematics for computer science
    mathematics for machine learning: linear algebra
    mathematics for machine learning: pca
    mathematics for machine learning: multivariate calculus
    mathematics for engineers: the capstone course
    1234…84

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

    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Introduction to Mathematical Thinking: Stanford University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Introduction to Calculus: The University of Sydney
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to Statistics: Stanford University
    • College Math Prep: University of North Texas
    • Game Theory: Stanford University
    • Introduction to Complex Analysis: Wesleyan University
    • Python for Everybody: University of Michigan

    Frequently Asked Questions about Mathematics

    • Simply put, mathematics is the study of numbers, but it's so much more than that. Mathematics deals with quantity, shape, and arrangement. Ancient civilizations contributed to the science of math as we know it today, yet scientists are making new discoveries using mathematics in the present. Mathematics can be as simple as addition and subtraction, or it can be as complex as calculus and other higher level studies. Mathematicians study and solve both theoretical problems and issues with real-world applications.‎

    • Skills in mathematics can benefit you no matter what career path you're in, but learning math can also benefit you in other ways. In the course of your day, chances are you're going to use math, whether you're developing a computer program or balancing a checking account, so having those skills at your fingertips will make your job easier. Mathematics also helps you strengthen your cognitive functions and problem-solving skills. Math gives you a better understanding of the world around you as well, because it's the foundation of scientific study and transcends culture and language.‎

    • You use math in some way or another in any workplace, but there are specific career paths that rely on mathematics for success. Some mathematics careers are in demand and pay high salaries, such as statisticians, data scientists, and software engineers. If you love helping people make and invest money, turn that passion along with your math skills into a career as an accountant or investment planner. Actuaries help determine the costs of financial risk, while economists look at math and finance at a larger scale. You can even help companies understand the accuracy of their financial records as an auditor.‎

    • Online courses on Coursera can help you gain the understanding and application you need to learn the concepts in mathematics that can help you take the next step in your career. You have the opportunity to learn about data modeling, computer programming, and differential equations, for example. Depending on your interests, you can also learn about algebra, game theory, statistics, machine learning, and precalculus.‎

    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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