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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

    The Hong Kong University of Science and Technology

    General Relativity II: Applications

    Skills you'll gain: Physics, Advanced Mathematics, Calculus, Differential Equations, Linear Algebra, Integral Calculus, Physical Science, Mechanics, Mathematical Modeling, Applied Mathematics, Scientific Methods

    Mixed · Course · 1 - 3 Months

  • G

    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Prompt Patterns, Prompt Engineering, Responsible AI, Data Presentation, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Automata and Computability

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Graph Theory, Deductive Reasoning, Natural Language Processing, Logical Reasoning, Formal Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, Statistical Reporting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Analysis, Time Series Analysis and Forecasting, R (Software), Markov Model, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Model Evaluation, Probability Distribution

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Increasing Multiplication Mastery with Microsoft PowerPoint

    Skills you'll gain: Microsoft Office, Mathematics Education, Education Software and Technology, Arithmetic

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Plot (Graphics), Probability & Statistics, Statistical Reporting, Sampling (Statistics), Research, Data Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Politecnico di Milano

    Derivatives: a guide to calculation

    Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Model Optimization, Advanced Mathematics, Applied Mathematics, Machine Learning Methods, Mathematics Education, Digital pedagogy, Geometry, Mathematical Theory & Analysis, Graphing

    Intermediate · Course · 1 - 3 Months

  • I

    Institut Mines-Télécom

    Traitement d'images : segmentation et caractérisation

    Skills you'll gain: Image Analysis, Computer Vision, Image Quality, Data Processing, Digital Signal Processing, Systems Of Measurement, Data Analysis, Computer Programming, Unsupervised Learning, Medical Imaging, Python Programming, Histogram, Algorithms, Machine Learning Algorithms, Applied Mathematics

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Driven Decision Making

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Statistical Programming, Statistical Methods, Probability & Statistics, Statistical Visualization, Analysis, Data Analysis, R (Software), Data Visualization, R Programming, Statistics, Statistical Inference, Variance Analysis, Sampling (Statistics)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Data Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Decision Making, Statistical Methods, Anomaly Detection, Probability Distribution, Statistical Analysis, Sampling (Statistics), Model Optimization, Clinical Trials

    Intermediate · Course · 1 - 3 Months

1…545556…62

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

  • General Relativity II: Applications: The Hong Kong University of Science and Technology
  • Fast-Track Data Analysis and Presentations: Google
  • Automata and Computability: Birla Institute of Technology & Science, Pilani
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Increasing Multiplication Mastery with Microsoft PowerPoint: Coursera
  • How to Describe Data: University of Michigan
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Derivatives: a guide to calculation: Politecnico di Milano
  • Traitement d'images : segmentation et caractérisation: Institut Mines-Télécom
  • Modeling Data in the Tidyverse: Johns Hopkins University

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