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Mathematics Courses

Mathematics courses can help you learn algebra, calculus, statistics, and discrete mathematics. You can build skills in problem-solving, logical reasoning, and data analysis, that support interpreting complex information. Many courses introduce tools like graphing calculators, statistical software, and programming languages such as Python, showing how these skills apply in fields like finance, engineering, and data science.


Popular Mathematics Courses and Certifications


  • Status: Preview
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    I

    Indian Institute of Science

    Micro Electromechanical Systems

    Skills you'll gain: Electronics Engineering, Semiconductors, Electronics, Electronic Hardware, Biomedical Technology, Hardware Design, Electronic Systems, Materials science, Mechanical Engineering, Chemical and Biomedical Engineering, Manufacturing Processes, Communication Systems, Laboratory Equipment, Engineering Design Process, Laboratory Testing, 3D Modeling, Engineering Calculations, Analytical Testing, Applied Mathematics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Analytical Mechanics for Spacecraft Dynamics

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    P

    Pontificia Universidad Católica de Chile

    Transferencia de momentum, calor y masa computacional

    Skills you'll gain: Engineering Analysis, Numerical Analysis, Finite Element Methods, Chemical Engineering, Simulation and Simulation Software, Differential Equations, Applied Mathematics, Engineering, NumPy, Mathematical Modeling, Scientific Visualization, Calculus, Python Programming, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The State University of New York

    Player Evaluation, Team Performance and Roster Management

    Skills you'll gain: Calendar Management, Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Team Management, Contract Negotiation, Business Mathematics, R Programming, Operations Management

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Understand Big O Notation in Python

    Skills you'll gain: Scalability, Performance Analysis, Simulations, Algorithms, Complex Problem Solving, Theoretical Computer Science, Python Programming, Data Structures, Software Architecture, Software Engineering

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EIT Digital

    System Validation (2): Model process behaviour

    Skills you'll gain: Verification And Validation, Systems Analysis, Systems Design, Computational Logic, Data Structures, Theoretical Computer Science, Distributed Computing, Algorithms, Logical Reasoning

    4.1
    Rating, 4.1 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    إنشاء المخططات و لوحات المعلومات باستخدام Microsoft Excel

    Skills you'll gain: Dashboard, Data Visualization, Microsoft Excel, Spreadsheet Software, Data Analysis, Business Reporting, Business Mathematics

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Deep Teaching Solutions

    Critical Thinking & Logic: Real-World Skills

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Critical Thinking, Cognitive flexibility, Problem Solving, Analytical Skills, Case Studies, Creative Thinking, Innovation, Decision Making, Verbal Communication Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Micro Electromechanical Systems: Indian Institute of Science
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Analytical Mechanics for Spacecraft Dynamics: University of Colorado Boulder
  • Transferencia de momentum, calor y masa computacional: Pontificia Universidad Católica de Chile
  • Player Evaluation, Team Performance and Roster Management: The State University of New York
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Understand Big O Notation in Python: Duke University
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Building Regression Models with Linear Algebra: Howard University
  • System Validation (2): Model process behaviour: EIT Digital

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