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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

    • N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Structural Engineering, Torque (Physics), Vibrations, Engineering, Physics, Civil Engineering, Calculus, Applied Mathematics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      743 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Pseudocode, Computational Thinking, Programming Principles, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      494 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      198 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      411 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      First Order Optical System Design

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Equipment Design, Engineering Calculations, Electrical Engineering, Computer-Aided Design, Engineering Design Process, Engineering Analysis, Performance Tuning, Simulation and Simulation Software, z/OS, Applied Mathematics, Medical Imaging, Linear Algebra, Physics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      330 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Financial Forecasting, Regression Analysis, Microsoft Excel, Demand Planning, Excel Formulas, Trend Analysis, Business Mathematics, Predictive Modeling, Business Metrics, Strategic Thinking, Data Presentation, Statistical Visualization, Graphing, Market Trend, Business Economics, Key Performance Indicators (KPIs), Statistical Modeling, Exploratory Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      306 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modeling: Precalculus Review

      Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Mathematical Software, Applied Mathematics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Analyse numérique pour ingénieurs

      Skills you'll gain: Numerical Analysis, Differential Equations, Linear Algebra, Calculus, Matlab, Applied Mathematics, Mathematical Modeling, Integral Calculus, Algorithms, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

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    1…161718…53

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

    • Data Processing Using Python: Nanjing University
    • Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion: Georgia Institute of Technology
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Supervised Machine Learning: Classification: IBM
    • First Order Optical System Design: University of Colorado Boulder
    • Excel Skills for Business Forecasting: Macquarie University
    • Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
    • Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
    • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology

    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.

    Frequently Asked Questions about Mathematics

    Top courses include Introduction to Mathematical Thinking from Stanford University, Mathematics for Machine Learning and Data Science from DeepLearning.AI, and Introduction to Discrete Mathematics for Computer Science from UC San Diego. These programs cover topics from basic algebra to calculus, linear algebra, and applications in data science.‎

    Yes. Many mathematics courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn core topics like algebra, calculus, probability, and discrete mathematics. Some courses also cover applied topics like statistics, mathematical modeling, and math for engineering or computer science.‎

    Not at all. Many Coursera courses are beginner-friendly and start with foundational concepts, making them great for learners who want to build skills step by step. Advanced learners can find specialized courses on topics like differential equations, linear algebra, or mathematical proofs.‎

    Yes. Mathematics is essential in many fields, including engineering, economics, data science, and computer programming. Coursera courses can help you build skills that support academic success, strengthen job readiness, and open doors to careers in STEM and analytical roles.‎

    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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