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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

    • 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

    • U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      2.9
      Rating, 2.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Dartmouth College

      Question Reality: Cosmos

      Skills you'll gain: Scientific Methods, General Science and Research, Physics, Physical Science, Experimentation, Ancient History, Vibrations, Mechanics, World History, European History, Deductive Reasoning, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Phases of Matter: Solid, Liquid, Gas and Beyond

      Skills you'll gain: Physics, Physical Science, Algebra, Mathematical Modeling, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Resampling, Selection and Splines

      Skills you'll gain: Data Science, Statistical Machine Learning, Dimensionality Reduction, Advanced Analytics, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Predictive Modeling, Probability Distribution, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      A

      American Psychological Association

      Basic Inferential Statistics for Psychology

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Statistics, Analytical Skills, Data Literacy, Psychology, Research Design, Research

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Network Analysis for Marketing Analytics

      Skills you'll gain: Network Analysis, Marketing Analytics, Data Science, Unstructured Data, Analytics, Text Mining, Semantic Web, Data Structures, Social Media, Data Visualization Software, Data Visualization, Natural Language Processing, Statistical Methods, Data Processing

      Build toward a degree

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Supervised Learning, Statistical Machine Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Feature Engineering, Random Forest Algorithm

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Aprendiendo Python con textos, números y ecuaciones

      Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Computer Programming, Scripting, Mathematical Modeling, Linear Algebra, Applied Mathematics, Scripting Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Pesquisa de Mercado e Estratégia de Marketing

      Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Marketing Management, Data Collection, Market Intelligence, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Analysis, Data-Driven Decision-Making, Marketing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Specialization · 3 - 6 Months

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    1…424344…52

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

    • Introduction to Linear Algebra and Python: Howard University
    • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
    • Question Reality: Cosmos: Dartmouth College
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Phases of Matter: Solid, Liquid, Gas and Beyond: University of Colorado Boulder
    • Resampling, Selection and Splines: University of Colorado Boulder
    • Basic Inferential Statistics for Psychology: American Psychological Association
    • Network Analysis for Marketing Analytics: University of Colorado Boulder
    • Trees, SVM and Unsupervised Learning: 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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