Simply put, mathematics is the study of numbers, but it's so much more than that. Mathematics deals with quantity, shape, and arrangement. Ancient civilizations contributed to the science of math as we know it today, yet scientists are making new discoveries using mathematics in the present. Mathematics can be as simple as addition and subtraction, or it can be as complex as calculus and other higher level studies. Mathematicians study and solve both theoretical problems and issues with real-world applications.

Why study mathematics?

Skills in mathematics can benefit you no matter what career path you're in, but learning math can also benefit you in other ways. In the course of your day, chances are you're going to use math, whether you're developing a computer program or balancing a checking account, so having those skills at your fingertips will make your job easier. Mathematics also helps you strengthen your cognitive functions and problem-solving skills. Math gives you a better understanding of the world around you as well, because it's the foundation of scientific study and transcends culture and language.

What are typical careers that use mathematics?

You use math in some way or another in any workplace, but there are specific career paths that rely on mathematics for success. Some mathematics careers are in demand and pay high salaries, such as statisticians, data scientists, and software engineers. If you love helping people make and invest money, turn that passion along with your math skills into a career as an accountant or investment planner. Actuaries help determine the costs of financial risk, while economists look at math and finance at a larger scale. You can even help companies understand the accuracy of their financial records as an auditor.

How can online courses on Coursera help me learn mathematics?

Online courses on Coursera can help you gain the understanding and application you need to learn the concepts in mathematics that can help you take the next step in your career. You have the opportunity to learn about data modeling, computer programming, and differential equations, for example. Depending on your interests, you can also learn about algebra, game theory, statistics, machine learning, and precalculus.

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1068 résultats pour ''mathematics'

Google
Google Data Analytics
Compétences que vous acquerrez : Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
(101.7k avis)
Beginner · Professional Certificate · 3-6 Months
University of London
Bachelor of Science in Computer Science
Compétences que vous acquerrez : Computer Programming, Theoretical Computer Science, Web Development, Mathematics, Algorithms, Data Management, Databases, C Programming Language Family, Javascript, Software Engineering, C++ Programming, Programming Principles, Statistical Programming, Data Structures, Mathematical Theory & Analysis, Operating Systems, SQL, Computer Graphics, Machine Learning, Probability & Statistics, Computational Logic, Computer Architecture, Software Testing, Computer Networking, Human Computer Interaction, Security Engineering, Data Analysis, Python Programming, Agile Software Development, Network Security, Regression, Mobile Development, Software Architecture, Software Security, System Security, Algebra, Full-Stack Web Development, General Statistics, HTML and CSS, Interactive Design, Linear Algebra, Network Architecture, Network Model, Other Programming Languages, Probability Distribution, User Experience, Web Design, Design and Product, Product Design, Deep Learning, Data Visualization, Artificial Neural Networks, Back-End Web Development, Business Psychology, Calculus, Cloud Computing, Cloud Storage, Combinatorics, Computational Thinking, Computer Programming Tools, Database Design, Front-End Web Development, Graph Theory, Leadership and Management, Microarchitecture, Natural Language Processing, Professional Development, Research and Design, System Programming, User Experience Design, Internet Of Things, Journalism, Software Engineering Tools
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University of Colorado Boulder
Expressway to Data Science: Essential Math
Compétences que vous acquerrez : Mathematics, Algebra, Calculus, Linear Algebra, Mathematical Theory & Analysis, Differential Equations, Theoretical Computer Science, Probability & Statistics, Algorithms, Entrepreneurship, Graph Theory, Leadership and Management, Probability Distribution, Problem Solving, Research and Design, Computer Graphic Techniques, Computer Graphics, General Statistics, Accounting, Big Data, Computer Programming, Corporate Accouting, Data Analysis, Data Management, Data Mining, Data Model, Data Structures, Design and Product, Finance, Investment Management, Product Design, Programming Principles, Software Architecture, Software Engineering
4.5
(197 avis)
Intermediate · Specialization · 3-6 Months
Stanford University
Probabilistic Graphical Models
Compétences que vous acquerrez : Probability & Statistics, Machine Learning, Bayesian Network, General Statistics, Markov Model, Bayesian Statistics, Probability Distribution, Computer Architecture, Distributed Computing Architecture, Leadership and Management, Other Programming Languages, Computer Programming, Machine Learning Algorithms, Statistical Machine Learning, Applied Machine Learning, Correlation And Dependence, Behavioral Economics, Business Psychology, Data Analysis, Graph Theory, Mathematics, Algebra, Geovisualization
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Advanced · Specialization · 3-6 Months
IBM Skills Network
IBM Applied AI
Compétences que vous acquerrez : Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Statistical Programming, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools
4.6
(42k avis)
Beginner · Professional Certificate · 3-6 Months
Columbia University
Financial Engineering and Risk Management
Compétences que vous acquerrez : Finance, Probability & Statistics, Risk Management, Mathematics, General Statistics, Probability Distribution, Investment Management, Accounting, Mathematical Theory & Analysis, Securities Sales, Securities Trading, Audit, Algebra, Calculus, Correlation And Dependence, Linear Algebra, Applied Mathematics, BlockChain, Communication, Computer Programming, Entrepreneurship, FinTech, Leadership and Management, Machine Learning, Markov Model, Product Marketing, Sales, Strategy
4.5
(124 avis)
Intermediate · Specialization · 3-6 Months
Gratuit
University of London
Introduction to Computer Science and Programming
Compétences que vous acquerrez : Mathematics, Computer Programming, Computer Science, Javascript, Computer Networking, Computer Architecture, Cyberattacks, Data Management, Data Visualization, Microarchitecture, Network Model, Network Security, Plot (Graphics), Security Engineering, Theoretical Computer Science, Computational Logic, Computational Thinking
4.2
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Beginner · Specialization · 3-6 Months
Gratuit
University of Virginia
Pricing Strategy Optimization
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4.8
(834 avis)
Beginner · Specialization · 3-6 Months
University of Colorado Boulder
Data Science Foundations: Data Structures and Algorithms
Compétences que vous acquerrez : Theoretical Computer Science, Algorithms, Data Structures, Data Management, Mathematics, Operations Research, Research and Design, Strategy and Operations, Computer Programming, Graph Theory, Programming Principles, Mathematical Theory & Analysis, Computational Logic, Operating Systems, Other Programming Languages, System Programming, Python Programming, Statistical Programming
4.6
(276 avis)
Advanced · Specialization · 1-3 Months
DeepLearning.AI
Natural Language Processing
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4.6
(4.9k avis)
Intermediate · Specialization · 3-6 Months

Recherches liées à mathematics

mathematics for machine learning

mathematics for machine learning and data science

mathematics for engineers

mathematics for computer science

mathematics for machine learning: linear algebra

mathematics for machine learning: multivariate calculus

mathematics for machine learning: pca

mathematics for engineers: the capstone course

En résumé, voici 10 de nos cours mathematics les plus populaires

Google Data Analytics: Google
Bachelor of Science in Computer Science: University of London
Expressway to Data Science: Essential Math: University of Colorado Boulder
Probabilistic Graphical Models: Stanford University
IBM Applied AI: IBM Skills Network
Financial Engineering and Risk Management: Columbia University
Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
Introduction to Computer Science and Programming: University of London
Discrete Mathematics: Shanghai Jiao Tong University
Pricing Strategy Optimization: University of Virginia

Questions fréquentes sur Mathématiques

Simply put, mathematics is the study of numbers, but it's so much more than that. Mathematics deals with quantity, shape, and arrangement. Ancient civilizations contributed to the science of math as we know it today, yet scientists are making new discoveries using mathematics in the present. Mathematics can be as simple as addition and subtraction, or it can be as complex as calculus and other higher level studies. Mathematicians study and solve both theoretical problems and issues with real-world applications.‎
Skills in mathematics can benefit you no matter what career path you're in, but learning math can also benefit you in other ways. In the course of your day, chances are you're going to use math, whether you're developing a computer program or balancing a checking account, so having those skills at your fingertips will make your job easier. Mathematics also helps you strengthen your cognitive functions and problem-solving skills. Math gives you a better understanding of the world around you as well, because it's the foundation of scientific study and transcends culture and language.‎
You use math in some way or another in any workplace, but there are specific career paths that rely on mathematics for success. Some mathematics careers are in demand and pay high salaries, such as statisticians, data scientists, and software engineers. If you love helping people make and invest money, turn that passion along with your math skills into a career as an accountant or investment planner. Actuaries help determine the costs of financial risk, while economists look at math and finance at a larger scale. You can even help companies understand the accuracy of their financial records as an auditor.‎
Online courses on Coursera can help you gain the understanding and application you need to learn the concepts in mathematics that can help you take the next step in your career. You have the opportunity to learn about data modeling, computer programming, and differential equations, for example. Depending on your interests, you can also learn about algebra, game theory, statistics, machine learning, and precalculus.‎

Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.