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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1059 résultats pour ''mathematics'

Google
Google Data Analytics
Compétences que vous acquerrez : Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget 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, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
(100.6k avis)
Beginner · Professional Certificate · 3-6 Months
University of California, Davis
Geographic Information Systems (GIS)
Compétences que vous acquerrez : ArcGIS, Statistical Programming, Data Analysis, Data Visualization, Spatial Analysis, Geovisualization, Spatial Data Analysis, Data Management, GIS Software, Data Model, Databases, Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Data Analysis Software, Data Visualization Software, Data Structures, Geometry, Machine Learning, Mathematics, Theoretical Computer Science, Visualization (Computer Graphics)
4.8
(5.9k avis)
Beginner · Specialization · 3-6 Months
University of Michigan
Python 3 Programming
Compétences que vous acquerrez : Computer Programming, Python Programming, Computer Science, Statistical Programming, Algorithms, Other Programming Languages, Algebra, Communication, Computer Programming Tools, Journalism, Mathematics, Programming Principles, Software Engineering, Theoretical Computer Science
4.7
(20.1k avis)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Compétences que vous acquerrez : Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Bayesian Statistics, Experiment, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Statistical Tests, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis
4.4
(687 avis)
Advanced · Specialization · 3-6 Months
Gratuit
Gratuit
Gratuit
Gratuit
University of Washington
Computational Neuroscience
Compétences que vous acquerrez : Data Science, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Matlab, Reinforcement Learning, Business Psychology, Communication, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Deep Learning, Entrepreneurship, General Statistics, Linear Algebra, Machine Learning Algorithms, Mathematics, Network Model, Probability & Statistics, Probability Distribution
4.6
(1k avis)
Beginner · Course · 1-3 Months
DeepLearning.AI
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Compétences que vous acquerrez : Deep Learning, Machine Learning, Probability & Statistics, Statistical Machine Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Python Programming, General Statistics, Linear Algebra, Applied Machine Learning, Applied Mathematics, Dimensionality Reduction, Feature Engineering, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Statistical Visualization, Computer Programming, Tensorflow, Algorithms, Calculus, Probability Distribution, Regression, Theoretical Computer Science
4.9
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Intermediate · Course · 1-4 Weeks

Recherches liées à mathematics

mathematics for machine learning

mathematics for engineers

mathematics for computer science

mathematics for data 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
Differential Calculus through Data and Modeling: Johns Hopkins University
Coding for Everyone: C and C++: University of California, Santa Cruz
Geographic Information Systems (GIS): University of California, Davis
Statistical Thermodynamics: University of Colorado Boulder
Python 3 Programming: University of Michigan
Advanced Statistics for Data Science: Johns Hopkins University
Advanced Chemistry: University of Kentucky
The Economics of AI: University of Virginia
Overcoming Dyslexia: Yale University

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.