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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
      Free
      K

      Koç University

      Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

      Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Applied Mathematics, Engineering Analysis, Linear Algebra, Mathematical Theory & Analysis, Physics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Components, Mathematical Modeling, Technical Design, Thermal Management, Engineering Analysis, Engineering Design Process, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Trees and Graphs: Basics

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Network Analysis, Computational Thinking, Probability & Statistics

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      156 reviews

      Advanced · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Linear Algebra: Orthogonality and Diagonalization

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      29 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Total Data Quality

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Scientific Visualization, Data Analysis, Statistical Analysis, Systems Analysis, Data Analysis Software, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Optical Efficiency and Resolution

      Skills you'll gain: Electrical Engineering, Simulation and Simulation Software, Design Software, Engineering Analysis, Numerical Analysis, System Design and Implementation, Engineering Design Process, Applied Mathematics, Physics, Differential Equations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      62 reviews

      Advanced · Course · 1 - 3 Months

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    1…272829…51

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

    • Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University
    • Magnetics for Power Electronic Converters: University of Colorado Boulder
    • Operations Research (3): Theory: National Taiwan University
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
    • The Complete Quantum Computing Course for Beginners: Packt
    • Total Data Quality: University of Michigan
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Data Science Methods for Quality Improvement: 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

    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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