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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 Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Dashboard, Spreadsheet Software, Ggplot2, SQL, Data Visualization Software, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      312 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      371 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      232 reviews

      Beginner · Course · 1 - 3 Months

    • L

      L&T EduTech

      Power System: Generation, Transmission and Protection

      Skills you'll gain: Electrical Power, Electric Power Systems, Electrical Systems, Control Systems, Electrical Substation, Electrical Equipment, Energy and Utilities, Electrical Safety, Plant Operations and Management, High Voltage, Applied Mathematics, Power Electronics, Automation Engineering, Basic Electrical Systems, Electrical Engineering, Low Voltage, Process Control, Mathematical Modeling, Matlab, Three-Phase

      4.5
      Rating, 4.5 out of 5 stars
      ·
      188 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      407 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Regression Analysis, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Semiconductor Physics

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Components, Physics, Electronics, Differential Equations, Applied Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      291 reviews

      Advanced · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

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    1…161718…51

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

    • Analytics for Decision Making: University of Minnesota
    • Google Data Analytics: Google
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Data Processing Using Python: Nanjing University
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • Power System: Generation, Transmission and Protection: L&T EduTech
    • Kinematics: Describing the Motions of Spacecraft: University of Colorado Boulder
    • Supervised Machine Learning: Classification: IBM
    • Precalculus: Mathematical Modeling: Johns Hopkins 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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