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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: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistics, Machine Learning Algorithms, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability Distribution, Random Forest Algorithm, Statistical Inference, Predictive Analytics, Correlation Analysis, Sample Size Determination

      Intermediate · Course · 1 - 3 Months

    • S

      Starweaver

      Matlab and Simulink Basics

      Skills you'll gain: Matlab, Scientific Visualization, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Numerical Analysis, Integrated Development Environments, Data Structures, Scripting, Computer Programming, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Components, Electronic Systems, Mathematical Modeling, Electrical Power, Technical Design, Thermal Management, Design Specifications, Engineering Analysis, Engineering Design Process, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      U

      Universidad de Palermo

      Matemática para Negocios 

      Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Applied Mathematics, Income Statement, Graphing, Financial Analysis, Business Metrics, Business Analysis, Financial Statements, Business Modeling, Arithmetic, Algebra

      Beginner · Course · 1 - 4 Weeks

    • I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part II Series Solutions

      Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      57 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Active Learning in STEM with PhET Interactive Simulations

      Skills you'll gain: Instructional Strategies, Education Software and Technology, Mathematics Education, Simulations, Simulation and Simulation Software, Web Content Accessibility Guidelines, User Feedback, Experimentation, Peer Review, Browser Compatibility, Scientific Methods, Design Strategies, Chemistry, Human Computer Interaction, Technical Documentation, Physics, Biology, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      129 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Data Science, Statistical Analysis, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics II: Quantum Mechanics and Atoms

      Skills you'll gain: Physics, Laboratory Experience, Experimentation, Advanced Mathematics, Physical Science, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…262728…51

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

    • Statistics & Mathematics for Data Science & Data Analytics: Packt
    • Matlab and Simulink Basics : Starweaver
    • Magnetics for Power Electronic Converters: University of Colorado Boulder
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Matemática para Negocios : Universidad de Palermo
    • Network Analysis in Systems Biology: Icahn School of Medicine at Mount Sinai
    • Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
    • Active Learning in STEM with PhET Interactive Simulations: University of Colorado Boulder
    • Tidyverse Skills for Data Science in R: 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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