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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

    • U

      Universidade de São Paulo

      Estatística não-paramétrica para a tomada de decisão

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Theory of Angular Momentum

      Skills you'll gain: Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics

      4.1
      Rating, 4.1 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: C (Programming Language), Computer Architecture, Embedded Software, Computer Engineering, Computer Programming, Program Development, Data Structures, Linux, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Data Structures, RSA and Quantum Algorithms

      Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Data Encryption Standard, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Linear Algebra, Mathematical Theory & Analysis, Arithmetic

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Austral

      Jugar y Aprender Matemática en aulas heterogéneas

      Skills you'll gain: Mathematics Education, Childhood Education and Development, Geometry, Arithmetic, Pedagogy, General Mathematics, Learning Theory, Discussion Facilitation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      124 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Crystal Structures and Properties of Metals

      Skills you'll gain: Failure Analysis, Semiconductors, Mechanical Engineering, Engineering, Chemistry, Laboratory Testing, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Métodos de educación efectiva

      Skills you'll gain: Childhood Education and Development, Child Development, Student-Centred Learning, Teaching, Diversity Awareness, Pedagogy, Education and Training, Instructional Strategies, Mathematics Education, Human Development, Student Engagement, Human Learning, Parent Communication, Curriculum Development, Adult Education, Professional Development, Socioeconomics, Program Evaluation, Cultural Responsiveness, Working With Children

      4.4
      Rating, 4.4 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Diseño de Actividades con PhET para la Educación STEM

      Skills you'll gain: Simulation and Simulation Software, Mathematics Education, Interactive Design, Experimentation, Chemistry, Graphing, Physics, Biology, Algebra, Geometry

      5
      Rating, 5 out of 5 stars
      ·
      127 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
    • Exploratory Data Analysis: University of Leeds
    • Theory of Angular Momentum: University of Colorado Boulder
    • C Programming: Modular Programming and Memory Management - 3: Dartmouth College
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • The Total Data Quality Framework: University of Michigan
    • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
    • Data Analysis for Managerial Decision-Making: Rice University
    • Jugar y Aprender Matemática en aulas heterogéneas: Universidad Austral
    • Crystal Structures and Properties of Metals: Arizona State 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.

    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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