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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

    • I

      IBM

      Statistical Analysis Fundamentals using Excel

      Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Management, Database Architecture and Administration, Databases, Data Modeling, Data Integrity, Dependency Analysis, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      The Measure Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Automation Engineering, Mechanical Engineering, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Acoustics (Part 2)

      Skills you'll gain: Vibrations, HVAC, Building Design, Engineering Design Process, Engineering Analysis, Engineering Calculations, Mathematical Modeling, Integral Calculus, Applied Mathematics, Differential Equations, Calculus, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Caltech

      Getting started in cryo-EM

      Skills you'll gain: Medical Imaging, Image Analysis, Laboratory Equipment, Molecular, Cellular, and Microbiology, Biochemistry, Physics, Scientific Visualization, 3D Modeling, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      271 reviews

      Mixed · Course · 1 - 3 Months

    • D

      Dartmouth College

      Engineering of Structures: Tension

      Skills you'll gain: Structural Engineering, Structural Analysis, Construction, Civil Engineering, Architectural Engineering, Engineering Analysis, Engineering Design Process, Mechanics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Física: Vectores, Trabajo y Energía

      Skills you'll gain: Calculus, Integral Calculus, Mechanics, Applied Mathematics, Visualization (Computer Graphics), Physics, Geometry, Mathematical Modeling, Graphing, Trigonometry, Algebra

      4.2
      Rating, 4.2 out of 5 stars
      ·
      181 reviews

      Mixed · Course · 1 - 3 Months

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

    • Statistical Analysis Fundamentals using Excel: IBM
    • Relational Database Design: University of Colorado Boulder
    • The Measure Phase for the 6 σ Black Belt: Kennesaw State University
    • 機器人學一 (Robotics (1)): National Taiwan University
    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Introduction to Acoustics (Part 2): Korea Advanced Institute of Science and Technology(KAIST)
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Getting started in cryo-EM: Caltech
    • Engineering of Structures: Tension: Dartmouth College

    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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