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    • Mathematics

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    1084 results for "mathematics"

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      Johns Hopkins University

      Algebra: Elementary to Advanced

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

      4.8

      (388 reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (233 reviews)

      Beginner · Specialization · 1-3 Months

    • Free

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      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics, Business Analysis, Critical Thinking, Research and Design, Strategy and Operations

      4.8

      (2.5k reviews)

      Intermediate · Course · 1-3 Months

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      Imperial College London

      Mathematics for Machine Learning

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

      4.6

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      The University of Sydney

      Introduction to Calculus

      Skills you'll gain: Mathematics, Calculus, Algebra, Differential Equations, Mathematical Theory & Analysis, Applied Mathematics

      4.8

      (3.3k reviews)

      Intermediate · Course · 1-3 Months

    • Free

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      Stanford University

      Introduction to Statistics

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

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      Free

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      University of North Texas

      Math Prep: College & Work Ready

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

      4.1

      (78 reviews)

      Beginner · Course · 1-4 Weeks

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      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Mathematics, Linear Algebra, Calculus, Differential Equations, Algebra, Mathematical Theory & Analysis, Data Analysis, Data Analysis Software, Matlab, Applied Mathematics

      4.8

      (6.6k reviews)

      Beginner · Specialization · 3-6 Months

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      Free

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      Duke University

      Data Science Math Skills

      Skills you'll gain: Mathematics, Probability & Statistics, General Statistics, Algebra, Bayesian Statistics, Computational Logic, Data Visualization, Graph Theory, Mathematical Theory & Analysis, Plot (Graphics), Probability Distribution, Theoretical Computer Science

      4.5

      (11k 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: Mathematics, Mathematical Theory & Analysis, Calculus, Algebra

      4.8

      (1k reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      Stanford University

      Game Theory

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

      4.6

      (4.3k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Mathematics, Algebra, Data Management, Probability & Statistics, Calculus, Data Model, Data Analysis, Geometry, Applied Mathematics, Data Analysis Software, Regression, Linear Algebra, Mathematical Theory & Analysis

      4.7

      (208 reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to mathematics

    mathematics for machine learning
    mathematics for machine learning and data science
    mathematics for computer science
    mathematics for machine learning: pca
    mathematics for engineers
    mathematics for machine learning: linear algebra
    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
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Mathematical Thinking: Stanford University
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to Calculus: The University of Sydney
    • Introduction to Statistics: Stanford University
    • Math Prep: College & Work Ready: University of North Texas
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Data Science Math Skills: Duke University
    • Introduction to Complex Analysis: Wesleyan University

    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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