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    Mathematics Courses

    Mathematics courses can help you learn how to think analytically, solve problems logically, and apply quantitative reasoning across academic and professional fields.

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    Find the Best Mathematics Course for Your Goals

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Relations and Functions

      Skills you'll gain: Graphing, Data Analysis, Mathematical Modeling, R Programming, Algebra, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Portfolio Management, Investment Management, Asset Management, Market Liquidity, Mortgage Loans, Credit Risk, Applied Mathematics, Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Equities, Regression Analysis, Numerical Analysis, Capital Markets, Futures Exchange, Risk Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      384 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Exploratory Data Analysis, Statistical Inference, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistics, Quantitative Research, Statistical Analysis, Probability & Statistics, Correlation Analysis, Statistical Modeling, Mathematical Modeling, Predictive Modeling, Descriptive Statistics, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Calculus, Applied Mathematics, Advanced Mathematics, Numerical Analysis, Mathematical Modeling, Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      872 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universitat Autònoma de Barcelona

      Pre-Calculus

      Skills you'll gain: Integral Calculus, Trigonometry, Calculus, Algebra, General Mathematics, Arithmetic, Advanced Mathematics, Applied Mathematics, Graphing, Derivatives, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      569 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Spatial Analysis, Systems Of Measurement, Physical Science, General Science and Research, Mechanics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Software Installation, Python Programming, Scripting, Computational Thinking, Scripting Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      J

      Johns Hopkins University

      Foundations for Active Learning in STEM Courses

      Skills you'll gain: Education Software and Technology, Mathematics Education, Human Centered Design, Laboratory Experience

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Sampling (Statistics), Supervised Learning, Deep Learning, System Design and Implementation, Markov Model, Algorithms, Simulations, Feature Engineering, Artificial Neural Networks, Game Design, Statistical Methods, Virtual Environment, Performance Tuning, Probability Distribution

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Statistical Machine Learning, Sampling (Statistics), Statistical Inference, Unsupervised Learning, Supervised Learning, Machine Learning, Machine Learning Methods, Network Analysis, Statistical Methods, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Chemistry: Reactions and Ratios

      Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, Systems Of Measurement, Physics, Experimentation, Quantitative Research, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Linear Systems and Matrix Equations

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Engineering Calculations, Mathematical Modeling, Geometry, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      147 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…456…52

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

    • Precalculus: Relations and Functions: Johns Hopkins University
    • Financial Engineering and Risk Management: Columbia University
    • Data Analysis with R: Duke University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Pre-Calculus: Universitat Autònoma de Barcelona
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Foundations for Active Learning in STEM Courses: Johns Hopkins University
    • Reinforcement Learning: University of Alberta
    • Probabilistic Graphical Models: Stanford University

    Why Learn Mathematics?

    Mathematics is the language of patterns, structures, and logical thinking—used to model real-world systems and solve complex problems. It underpins disciplines like science, engineering, finance, and data analytics. Learning mathematics can strengthen your problem-solving skills, support academic success, and open doors to a wide range of careers.

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