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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1032 Ergebnisse für „mathematics“

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Imperial College London
Mathematics for Machine Learning
Kompetenzen, die Sie erwerben: Algebra, Algorithms, Analysis, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, Dimensionality Reduction, General Statistics, Lambda Calculus, Linear Algebra, Linearity, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science
4.6
(13k Bewertungen)
Beginner · Specialization · 3-6 Months
Kostenlos
Stanford University
Introduction to Statistics
Kompetenzen, die Sie erwerben: Data Analysis, Basic Descriptive Statistics, Machine Learning, Correlation And Dependence, Experiment, Econometrics, Plot (Graphics), Statistical Analysis, Data Visualization, Regression, General Statistics, Probability & Statistics, Markov Model, Probability Distribution, Statistical Tests, Statistical Hypothesis Testing, Inference, Bayesian Statistics, Hypothesis, Probability, Statistical Inference, Hypothesis Testing
4.5
(1.5k Bewertungen)
Beginner · Course · 1-3 Months
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Kostenlos
Google
Google Data Analytics
Kompetenzen, die Sie erwerben: Algorithms, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Security, Data Structures, Data Type, Data Visualization, Data Visualization Software, Data-Informed Decision-Making, 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, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
(78.1k Bewertungen)
Beginner · Professional Certificate · 3-6 Months
University of California, Santa Cruz
Bayesian Statistics
Kompetenzen, die Sie erwerben: Advertising, Analysis, Bayesian, Bayesian Statistics, Business Analysis, Communication, Data Analysis, Econometrics, Estimation, Forecasting, General Statistics, Graph Theory, Inference, Machine Learning, Marketing, Markov Model, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming
4.6
(3.2k Bewertungen)
Intermediate · Specialization · 3-6 Months
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Suchanfragen mit Bezug zu mathematics

mathematics for machine learning

mathematics for machine learning: linear algebra

mathematics for data science

mathematics for engineers

mathematics for machine learning: multivariate calculus

mathematics for computer science

mathematics for machine learning: pca

mathematics for engineers: the capstone course

Zusammenfassend sind hier 10 unserer beliebtesten mathematics Kurse

Algebra: Elementary to Advanced: Johns Hopkins University
Introduction to Mathematical Thinking: Stanford University
Mathematics for Engineers: The Hong Kong University of Science and Technology
Introduction to Calculus: The University of Sydney
College Math Prep: University of North Texas
Mathematics for Machine Learning: Imperial College London
Introduction to Statistics: Stanford University
Game Theory: Stanford University
Introduction to Complex Analysis: Wesleyan University
Google Data Analytics: Google

Häufig gestellte Fragen zum Thema Mathematik

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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.