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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: 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

    • Status: New
      New
      K

      Koç University

      KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS

      Skills you'll gain: Calculus, Graphing, General Mathematics, Algebra, Mathematical Theory & Analysis, Integral Calculus

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Modeling of Autonomous Systems

      Skills you'll gain: Mathematical Modeling, Software Systems, Mechanical Engineering, Systems Analysis, Systems Engineering, Simulations, Applied Mathematics, Automation, Differential Equations, Hardware Architecture, Verification And Validation

      Build toward a degree

      3.7
      Rating, 3.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      المعادلات في مايكروسوفت إكسل الجزء ١ |Formulas in MS Excel 1

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Data Analysis Expressions (DAX), Accounting and Finance Software, Business Mathematics, Financial Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Analytical Mechanics for Spacecraft Dynamics

      Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Applied Mathematics, Mathematical Modeling, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Advanced · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • G

      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Google Cloud Platform, Data Processing, Data Analysis, Predictive Modeling, Big Data, Statistical Analysis, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Statistical Analysis, Data Analysis, Box Plots, Systems Of Measurement, Data Quality, Run Chart, R Programming, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      Machine Learning Algorithms

      Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability & Statistics

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      离散优化建模高阶篇 Advanced Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Operations Research, Debugging, Computational Logic, Applied Mathematics, Performance Tuning, Algorithms, Geometry

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Number Sense for Primary Education with PhET Simulations

      Skills you'll gain: Lesson Planning, Interactive Learning, Education Software and Technology, Mathematics Education, Simulations, Arithmetic, Cultural Responsiveness

      Beginner · Course · 1 - 3 Months

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    1…434445…51

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

    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS: Koç University
    • Modeling of Autonomous Systems: University of Colorado Boulder
    • المعادلات في مايكروسوفت إكسل الجزء ١ |Formulas in MS Excel 1: Alfaisal University | KLD
    • Analytical Mechanics for Spacecraft Dynamics: University of Colorado Boulder
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • Measurement Systems Analysis: University of Colorado Boulder
    • Machine Learning Algorithms: Sungkyunkwan 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

    Mathematics courses on Coursera provide a comprehensive curriculum designed to strengthen your analytical skills and problem-solving abilities, including:

    • Proficiency in core mathematical principles such as algebra, calculus, and geometry
    • Advanced topics like differential equations and complex variables
    • Application of mathematical theories to real-world problems in engineering, physics, and economics
    • Techniques for logical reasoning and abstract thinking
    • Use of mathematical software tools for computation and visualization‎

    Coursera’s mathematics courses are accessible to learners of all backgrounds:

    • Introductory courses do not require prior experience and start with fundamental concepts.
    • Intermediate courses are suitable for those with basic knowledge in mathematics, expanding into more detailed aspects of the subject.
    • Advanced courses target professionals and students looking to deepen their expertise in specialized mathematical areas.‎

    By participating in Coursera’s mathematics courses, you can earn various credentials that reflect your level of expertise:

    • Course certificates for completing individual modules demonstrating essential mathematical knowledge
    • Professional certificates that signify proficiency in specific mathematical fields such as applied mathematics or statistical analysis
    • Degree courses and specializations that can serve as a substantial academic qualification in mathematics‎

    A strong foundation in mathematics can lead to diverse career opportunities in multiple sectors, including:

    • Actuarial Analyst, utilizing mathematical skills to assess risk in insurance and finance
    • Statistical Researcher, providing insights in healthcare, public policy, and technology
    • Cryptanalyst, securing data and communications with advanced mathematical techniques
    • Quantitative Developer, designing algorithms and models in the finance sector
    • Academic roles in education institutions teaching and developing mathematical curriculum

    These careers utilize deep mathematical knowledge to innovate solutions and drive success across various industries.‎

    Yes, Coursera offers a variety of free courses across many topics, including mathematics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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