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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
      B

      Banco Interamericano de Desarrollo

      Métodos de enseñanza temprana de matemáticas y ciencias

      Skills you'll gain: Student-Centred Learning, Diversity Awareness, Teaching, Mathematics Education, Instructional Strategies, Pedagogy, Student Engagement, Parent Communication, Cultural Responsiveness, Experimentation, Science and Research, Scientific Methods

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Building Regression Models with Linear Algebra

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Text Classification for Marketing Analytics

      Skills you'll gain: Unsupervised Learning, Unstructured Data, Deep Learning, Jupyter, Text Mining, Machine Learning Methods, Applied Machine Learning, Machine Learning, JSON, Natural Language Processing, Machine Learning Algorithms, Marketing Analytics, Data Processing, Data Wrangling

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, Statistical Inference, Linear Algebra

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Requirement Specifications for Autonomous Systems

      Skills you'll gain: Computational Logic, Theoretical Computer Science, System Requirements, Agentic systems, Verification And Validation, Mathematical Modeling, Control Systems, Linear Algebra, Computer Science, Applied Mathematics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modeling and Predicting Climate Anomalies

      Skills you'll gain: Matplotlib, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Pandas (Python Package), Statistical Analysis, Machine Learning, Regression Analysis, Environmental Policy, Data Science, Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, NumPy, Environment, Environmental Issue, International Relations, Policy Analysis, Energy and Utilities

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • I

      Institut Mines-Télécom

      Traitement d'images : introduction au filtrage

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Plot (Graphics), Applied Mathematics, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    Searches related to mathematics

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    1…454647…52

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

    • Métodos de enseñanza temprana de matemáticas y ciencias: Banco Interamericano de Desarrollo
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • Building Regression Models with Linear Algebra: Howard University
    • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Recommender Systems: Sungkyunkwan University
    • Model Diagnostics and Remedial Measures: Illinois Tech
    • Requirement Specifications for Autonomous Systems: University of Colorado Boulder
    • Deep Learning with Real-World Projects: Packt
    • Inferenzstatistik: Duke University
    • Modeling and Predicting Climate Anomalies: University of Colorado Boulder

    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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