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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1071 Ergebnisse für „mathematics“

DeepLearning.AI
Mathematics for Machine Learning and Data Science
Kompetenzen, die Sie erwerben: Mathematics, Linear Algebra, Algebra, Mathematical Theory & Analysis, Algorithms, Theoretical Computer Science, Artificial Neural Networks, Calculus, Computer Programming, Deep Learning, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming, General Statistics, Statistical Analysis
4.3
(46 Bewertungen)
Beginner · Specialization · 1-3 Months
Kostenlos
Imperial College London
Mathematics for Machine Learning
Kompetenzen, die Sie erwerben: Mathematics, Algebra, Linear Algebra, Machine Learning, Python Programming, Probability & Statistics, General Statistics, Calculus, Computer Programming, Applied Mathematics, Mathematical Theory & Analysis, Statistical Programming, Algorithms, Dimensionality Reduction, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Networking, Deep Learning, Differential Equations, Experiment, Machine Learning Algorithms, Network Model
4.6
(13.5k Bewertungen)
Beginner · Specialization · 3-6 Months
Kostenlos
Kostenlos
Kostenlos
Kostenlos
Stanford University
Introduction to Statistics
Kompetenzen, die Sie erwerben: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.5
(2k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Kostenlos
Google
Google Data Analytics
Kompetenzen, die Sie erwerben: 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
(102.3k Bewertungen)
Beginner · Professional Certificate · 3-6 Months

Suchanfragen mit Bezug zu mathematics

mathematics for machine learning

mathematics for engineers

mathematics for computer science

mathematics for machine learning: linear algebra

mathematics for machine learning: multivariate calculus

mathematics for machine learning and data science

mathematics for machine learning: pca

mathematics for engineers: the capstone course

Zusammenfassend sind hier 10 unserer beliebtesten mathematics Kurse

Mathematics for Machine Learning and Data Science: DeepLearning.AI
Algebra: Elementary to Advanced: Johns Hopkins University
Introduction to Mathematical Thinking: Stanford University
Mathematics for Machine Learning: Imperial College London
Introduction to Calculus: The University of Sydney
Math Prep: College & Work Ready: University of North Texas
Introduction to Complex Analysis: Wesleyan University
Mathematics for Engineers: The Hong Kong University of Science and Technology
Introduction to Statistics: Stanford University
Data Science Math Skills: Duke University

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.