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    131 Ergebnisse für „discrete mathematics“

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      IBM Skills Network

      IBM Data Analyst

      Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.9k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Kompetenzen, die Sie erwerben: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Statistical Tests, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (52.7k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Kompetenzen, die Sie erwerben: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.8k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Kompetenzen, die Sie erwerben: Accounting, Business Analysis, Financial Accounting, Finance, Data Analysis, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing

      4.5

      (15.1k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Kompetenzen, die Sie erwerben: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Estimation, Econometrics, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (15.8k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      University of Pennsylvania

      Business and Financial Modeling

      Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Probability & Statistics, Accounting, General Statistics, Leadership and Management, Spreadsheet Software, Finance, Financial Accounting, Decision Making, Financial Analysis, Probability Distribution, Statistical Analysis, Investment Management, Entrepreneurship, Basic Descriptive Statistics, Data Model, Forecasting, General Accounting, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Regression, Sales, Supply Chain and Logistics, Taxes, Risk Management, Business Research, Correlation And Dependence, Data Visualization, Financial Management, Management Accounting, Research and Design, Statistical Visualization, Corporate Accouting, Performance Management, Accounts Payable and Receivable, Cash Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Problem Solving, Product Management, Product Marketing

      4.5

      (10.2k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Business Analytics

      Kompetenzen, die Sie erwerben: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science

      4.6

      (17.2k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Advanced Learning Algorithms

      Kompetenzen, die Sie erwerben: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (1.6k Bewertungen)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      IBM Machine Learning

      Kompetenzen, die Sie erwerben: Machine Learning, Probability & Statistics, Deep Learning, General Statistics, Artificial Neural Networks, Forecasting, Machine Learning Algorithms, Regression, Data Analysis, Theoretical Computer Science, Statistical Machine Learning, Computer Vision, Algorithms, Business Analysis, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Applied Machine Learning, Computer Programming, Python Programming, Reinforcement Learning, Statistical Programming, Human Resources, Leadership Development, Leadership and Management, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Computer Graphic Techniques, Computer Graphics, Data Visualization, Natural Language Processing, Statistical Visualization, Algebra, Application Development, Basic Descriptive Statistics, Correlation And Dependence, Data Analysis Software, Estimation, SQL, Software Engineering, Statistical Analysis, Statistical Tests

      4.6

      (1.4k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Introduction to Machine Learning

      Kompetenzen, die Sie erwerben: Machine Learning, Machine Learning Algorithms, Regression, Data Analysis, General Statistics, Probability & Statistics, Theoretical Computer Science, Statistical Machine Learning, Algorithms, Dimensionality Reduction, Business Analysis, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Applied Machine Learning, Computer Vision, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Algebra, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Data Analysis Software, Data Visualization, Deep Learning, Estimation, Python Programming, SQL, Statistical Analysis, Statistical Programming, Statistical Tests

      4.6

      (1.3k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Kompetenzen, die Sie erwerben: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Applied Machine Learning, Theoretical Computer Science, Algorithms, Mathematics, Reinforcement Learning, Econometrics, Data Management, Data Structures, Tensorflow, Artificial Neural Networks, Data Analysis, Data Mining, Mathematical Theory & Analysis, Probability Distribution, Bayesian Statistics, Computer Programming, Operations Research, Python Programming, Research and Design, Statistical Programming, Strategy and Operations, Communication

      4.9

      (777 Bewertungen)

      Beginner · Course · 1-4 Weeks

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      University System of Georgia

      Six Sigma Yellow Belt

      Kompetenzen, die Sie erwerben: Strategy and Operations, Business Analysis, Business Process Management, Entrepreneurship, Data Analysis, Probability & Statistics, Operations Management, Statistical Analysis, Performance Management, Basic Descriptive Statistics, General Statistics, Operational Analysis, Supply Chain and Logistics, Business Psychology, Leadership and Management, Process Analysis, Project Management, Research and Design, Correlation And Dependence, Data Visualization, Probability Distribution, Collaboration, Communication, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Operations Research, Plot (Graphics), Regression, Statistical Tests, Survey Creation, Conflict Management, Design and Product, Human Resources, Organizational Development, Problem Solving, Product Management, Product Strategy, Training, Business Intelligence, Critical Thinking, Mathematics, Software Engineering, Software Testing, Strategy

      4.6

      (8.3k Bewertungen)

      Beginner · Specialization · 3-6 Months

    Suchanfragen mit Bezug zu discrete mathematics

    introduction to discrete mathematics for computer science
    离散数学概论 discrete mathematics generality
    1…456…11

    Zusammenfassend sind hier 10 unserer beliebtesten discrete mathematics Kurse

    • IBM Data Analyst: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • IBM AI Engineering: IBM Skills Network
    • Business and Financial Modeling: University of Pennsylvania
    • Business Analytics: University of Pennsylvania
    • Advanced Learning Algorithms: DeepLearning.AI
    • IBM Machine Learning: IBM Skills Network
    • IBM Introduction to Machine Learning: IBM Skills Network

    Fähigkeiten, die Sie bei Probability And Statistics erlernen können

    R-Programmierung (19)
    Inferenz (16)
    Lineare Regression (12)
    Statistische Analyse (12)
    Statistische Inferenz (11)
    Regressionsanalyse (10)
    Biostatistik (9)
    Bayes (7)
    Logistische Regression (7)
    Wahrscheinlichkeitsverteilung (7)
    Bayessche Statistik (6)
    Medizinische Statistik (6)

    Häufig gestellte Fragen zum Thema Discrete Mathematics

    • Discrete mathematics refers to a group of mathematics branches that deal with discrete objects instead of continuous objects. In discrete mathematics, objects have distinct, separate values represented by integers, unlike real numbers used in continuous mathematics. Discrete mathematics includes combinatorics, set theory, graph theory, number theory, and probability. It is integral to computer science and plays a role in the field of data science.‎

    • You may consider learning discrete mathematics if you want to study computer science or work in a data science field. Discrete mathematics is a foundation of computer science, and programmers often use principles of set theory, probability, and combinations to analyze algorithms when writing programs and applications. Learning discrete mathematics can also help boost other useful skills like logic, reasoning, and problem-solving, making you a more marketable job candidate. ‎

    • Typical careers that use discrete mathematics are in the computer science field, such as software development, programming, and cryptography. Data scientists and data analysts may use their knowledge of discrete mathematics in their work. Other careers that can incorporate discrete mathematics include electrical and mechanical engineers in addition to data analysts, business analysts, and market researchers. Discrete mathematics also influences the work of urban planners, epidemiologists, and social scientists who collect and analyze large amounts of data.‎

    • Online courses can introduce you to core concepts of discrete mathematics, such as sets, relations, and functions. Lessons include topics like partial orders, enumerative combinatorics, and the binomial coefficient, and you have opportunities to apply the concepts to real-world applications. You may choose courses that cover specific subjects like graph theory or probability to increase your knowledge of these disciplines. Alternatively, you may decide to take courses that explore the application of discrete mathematics in specific fields like data science, computer science, or machine learning.‎

    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.
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