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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 Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      501 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics I: Relativity and Cosmology

      Skills you'll gain: Physics, Calculus, Mechanics, Physical Science, Advanced Mathematics, Energy and Utilities, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      412 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Vector Calculus

      Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      Deep Teaching Solutions

      Making Math Click: Understand Math Without Fear

      Skills you'll gain: Mathematics Education, Learning Strategies, Instructional Strategies, Growth Mindedness, Learning Styles, Curiosity, Cognitive flexibility, Instructional Design, Overcoming Obstacles, Motivational Skills, Open Mindset

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      69 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      214 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Eindhoven University of Technology

      Microwave engineering and antennas

      Skills you'll gain: Electronics Engineering, Telecommunications, Electrical Engineering, Electronic Systems, Wireless Networks, Engineering Design Process, Simulation and Simulation Software, Engineering Analysis, Computer-Aided Design, Physics, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      141 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique

      Quantum Optics 1 : Single Photons

      Skills you'll gain: Physics, Experimentation, Quantitative Research, Cryptography, Mathematical Modeling, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      332 reviews

      Mixed · Course · 1 - 3 Months

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

    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Understanding Modern Physics I: Relativity and Cosmology: The Hong Kong University of Science and Technology
    • Supervised Machine Learning: Classification: IBM
    • Precalculus: Mathematical Modeling: Johns Hopkins University
    • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Making Math Click: Understand Math Without Fear: Deep Teaching Solutions
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Quantum Computing For Everyone - An Introduction : Fractal Analytics
    • Introduction to Electricity and Magnetism: Rice 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.

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