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    • Mathematics

    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

      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Return On Investment, Financial Reporting, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Financial Planning, Corporate Finance, Predictive Analytics, Spreadsheet Software, Google Sheets, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 1

      Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Statistical Analysis, Biostatistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      514 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistics, Statistical Methods, Public Health, Probability & Statistics, Epidemiology, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Graphic Design

      Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Typography, Adobe InDesign, Design Reviews, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Editing, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Power Electronics

      Skills you'll gain: Power Electronics, Electronic Systems, Electrical Engineering, Basic Electrical Systems, Electric Power Systems, Electrical Power, Electronic Components, Simulations, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Financial Analysis, Finance, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Integrated Development Environments, Javascript, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      932 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to mathematics

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    1…91011…52

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

    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
    • Statistical Analysis with R for Public Health: Imperial College London
    • Probabilistic Graphical Models: Stanford University
    • Graphic Design: University of Colorado Boulder
    • Introduction to Power Electronics: University of Colorado Boulder
    • Business Finance and Data Analysis Fundamentals: Rice University
    • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
    • Quantitative Methods: University of Amsterdam
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan 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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