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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
      U

      University of Colorado Boulder

      Advanced Spacecraft Dynamics and Control

      Skills you'll gain: Vibrations, Control Systems, Mechanics, Torque (Physics), Engineering Analysis, Finite Element Methods, Mechanical Engineering, Simulations, Angular, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Advanced · Specialization · 1 - 3 Months

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Question Reality! Science, philosophy, a search for meaning

      Skills you'll gain: Scientific Methods, Theoretical Computer Science, Logical Reasoning, General Science and Research, Physics, Physical Science, Artificial Intelligence, Computational Thinking, Mathematics and Mathematical Modeling, Experimentation, Simulations, Computer Science, Psychology, Science and Research, Ancient History, Vibrations, Mechanics, Chemistry, Research, World History

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics III: Simplicity and Complexity

      Skills you'll gain: Physics, Advanced Mathematics, Simulations, Engineering Calculations, Mechanics, Mathematical Modeling, Calculus, Differential Equations, Physical Science, Information Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna

      Skills you'll gain: Physics, Laboratory Experience, Electrical Systems, Experimentation, Basic Electrical Systems, Scientific Methods, Science and Research, Physical Science, Mechanics, Electronics Engineering, Mathematical Modeling, Applied Mathematics, Integral Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Engineering Management, Statistical Hypothesis Testing, Data-Driven Decision-Making, Correlation Analysis, Data Literacy, Probability Distribution, Descriptive Statistics, Estimation, Data Analysis, Sample Size Determination, Statistical Analysis, Statistical Software, Statistical Methods, Leadership and Management, Technical Management, Statistical Visualization, Statistics, Leadership, Probability & Statistics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Thermodynamique : applications

      Skills you'll gain: Chemical Engineering, Mechanical Engineering, Thermal Management, Engineering, Chemical and Biomedical Engineering, Physics, Energy and Utilities, Electrical Power, Process Engineering, Differential Equations, Applied Mathematics, Engineering Analysis, Calculus, Engineering Calculations, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Introduction to Linear Algebra and Python

      Skills you'll gain: Linear Algebra, Applied Mathematics, NumPy, Mathematical Software, Data Visualization Software, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Git (Version Control System)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Approximation Methods

      Skills you'll gain: Estimation, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Physics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Advanced Spacecraft Dynamics and Control: University of Colorado Boulder
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Question Reality! Science, philosophy, a search for meaning: Dartmouth College
    • Derivatives: a guide to calculation: Politecnico di Milano
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Understanding Modern Physics III: Simplicity and Complexity: The Hong Kong University of Science and Technology
    • Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna: Politecnico di Milano
    • The Data Driven Manager: University of Colorado Boulder
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Thermodynamique : applications: École Polytechnique Fédérale de Lausanne

    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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