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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


  • C

    Coursera

    Improving Math Engagement with Prodigy

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

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

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Using Basic Formulas and Functions in Microsoft Excel

    Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Gross Profit, Business Mathematics

    ★ 4.6 (2.6K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Оценка облигаций

    Skills you'll gain: Financial Analysis, Financial Market, Securities (Finance), Investment Management, Investments, Return On Investment, Finance

    ★ 4.8 (11) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Building Students Math Skills with iKnowit

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

    ★ 4.8 (46) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Increasing Multiplication Mastery with Microsoft PowerPoint

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

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

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Statistics For Data Science

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

    ★ 4 (42) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Plot (Graphics), Statistical Visualization, Data Analysis, Business Analytics, Descriptive Analytics, Productivity Software, Business Analysis, Data Manipulation, Google Workspace, Analytics, Descriptive Statistics, Statistics, Data Cleansing

    ★ 4.4 (1K) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Robot Localization with Python and Particle Filters

    Skills you'll gain: Spatial Data Analysis, Robotics, Artificial Intelligence, Sampling (Statistics), Simulations, NumPy

    ★ 4.5 (25) · Advanced · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • 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

    Category: Credit offered
    Credit offered
  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Plot (Graphics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Programming, Descriptive Analytics, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Data Science

    ★ 4.6 (68) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Aprendiendo Python con textos, números y ecuaciones

    Skills you'll gain: Program Development, Python Programming, Jupyter, Interactive Design, Code Reusability, Mathematical Software, Algorithms, Computer Programming, Programming Principles, Algebra, Linear Algebra, Applied Mathematics, Object Oriented Programming (OOP)

    ★ 4.8 (36) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1

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

  • Improving Math Engagement with Prodigy: Coursera
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • Оценка облигаций: Coursera
  • Building Students Math Skills with iKnowit: Coursera
  • Increasing Multiplication Mastery with Microsoft PowerPoint: Coursera
  • Statistics For Data Science: Coursera
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • Robot Localization with Python and Particle Filters: Coursera
  • Python 101: Develop Your First Python Program: Coursera
  • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera

Frequently Asked Questions about Mathematics

Mathematics is the study of numbers, shapes, patterns, and relationships. It serves as a foundational tool for understanding the world around us and is crucial in various fields, including science, engineering, economics, and technology. The importance of mathematics lies in its ability to provide logical reasoning and problem-solving skills, which are essential for making informed decisions and innovations.‎

A background in mathematics opens doors to a variety of career paths. Potential job roles include data analyst, statistician, actuary, financial analyst, and operations researcher. Additionally, mathematics is integral in fields such as engineering, computer science, and academia, where analytical skills are highly valued.‎

To succeed in mathematics, you should develop a strong foundation in basic arithmetic, algebra, geometry, and calculus. Critical thinking and problem-solving skills are also essential. Familiarity with mathematical software and programming languages can enhance your capabilities, especially in data analysis and engineering contexts.‎

Some of the best online mathematics courses include the Mathematics for Engineering Specialization and the Mathematics for Machine Learning and Data Science Specialization. These courses cover essential concepts and applications, making them suitable for various learners.‎

es. You can start learning mathematics on Coursera for free in two ways:

  1. Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in mathematics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Mathematics courses typically cover a range of topics, including algebra, calculus, statistics, linear algebra, and discrete mathematics. Advanced courses may explore specialized areas such as mathematical modeling, optimization, and numerical methods.‎

For training and upskilling employees, courses like the Mathematics for Engineers Specialization and the Foundational Mathematics for AI are excellent choices. These programs equip learners with the mathematical skills necessary for engineering and data science roles.‎

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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