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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


  • T

    Tecnológico de Monterrey

    Física: Dimensión y Movimiento

    Skills you'll gain: Graphing, Systems Of Measurement, Physics, Integral Calculus, Scientific Visualization, Calculus, Mechanics, Physical Science, Scientific Methods, Applied Mathematics, Algebra, Derivatives

    ★ 4.6 (210) · Mixed · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Exploring and Producing Data for Business Decision Making

    Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Statistics, Data-Driven Decision-Making, Data Analysis, Statistical Reporting, Data Presentation, Quantitative Research, Analytical Skills, Statistical Analysis, Statistical Methods, Descriptive Analytics, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Estimation, Statistical Visualization, Decision Making

    ★ 4.8 (1K) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Python 101: Develop Your First Python Program

    Skills you'll gain: Game Design, Human Computer Interaction, Program Development, Code Reusability, Python Programming, Programming Principles, Computer Programming, Mathematical Software, Data Analysis

    ★ 4.7 (288) · Beginner · Guided Project · Less Than 2 Hours

  • É

    École Polytechnique

    Mécanique quantique

    Skills you'll gain: Physics, Mechanics, Semiconductors, Probability Distribution, Probability, Differential Equations, Applied Mathematics, Integral Calculus, Mathematical Modeling, Mathematical Theory & Analysis, Experimentation

    ★ 4.8 (154) · Intermediate · Course · 1 - 3 Months

  • S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, SAS (Software), Correlation Analysis, Statistical Software, Statistical Programming, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Plot (Graphics), Statistical Inference, Data Wrangling, Graphical Tools, Predictive Modeling, Sampling (Statistics), Predictive Analytics, Model Evaluation

    ★ 4.7 (175) · Intermediate · Course · 1 - 4 Weeks

  • T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Model Optimization, Debugging, Mathematical Modeling, Operations Research, Model Evaluation, Applied Mathematics, Combinatorics, Computational Logic, Code Reusability, Algorithms

    ★ 4.9 (142) · Intermediate · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Surveys, Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Analysis, Sampling (Statistics), Big Data

    ★ 4.2 (775) · Intermediate · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    機器人學一 (Robotics (1))

    Skills you'll gain: Robotics, Mechanics, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Mathematical Modeling, Spatial Analysis

    ★ 4.7 (64) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    ★ 4.8 (462) · Intermediate · Course · 1 - 3 Months

  • N

    Nanyang Technological University, Singapore

    Introduction to Complexity Science

    Skills you'll gain: Systems Engineering, Time Series Analysis and Forecasting, Social Studies, Quantitative Research, Sustainable Development, Critical Thinking and Problem Solving, Simulation and Simulation Software, Agentic systems, Systems Analysis, Computational Thinking, Mathematics and Mathematical Modeling, Graph Theory, Epidemiology, Jupyter

    ★ 4.7 (35) · Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    What is “the mind” and what is artificial intelligence?

    Skills you'll gain: Artificial Intelligence, Computational Thinking, AI literacy, Theoretical Computer Science, Psychology, Computer Science, Algorithms, General Mathematics

    ★ 4.4 (150) · Beginner · Course · 1 - 4 Weeks

  • É

    École normale supérieure

    Statistical Mechanics: Algorithms and Computations

    Skills you'll gain: Sampling (Statistics), Mathematical Software, Physics, Simulations, Numerical Analysis, Markov Model, Mechanics, Simulation and Simulation Software, Algorithms, Programming Principles, Applied Mathematics, Integral Calculus, Model Optimization, Program Development

    ★ 4.8 (269) · Mixed · Course · 1 - 3 Months

1…373839…62

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

  • Física: Dimensión y Movimiento: Tecnológico de Monterrey
  • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
  • Python 101: Develop Your First Python Program: Coursera
  • Mécanique quantique: École Polytechnique
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • 機器人學一 (Robotics (1)): National Taiwan University
  • Supervised Machine Learning: Classification: IBM
  • Introduction to Complexity Science: Nanyang Technological University, Singapore

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