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    1510 Ergebnisse für „logic“

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      Meta

      Meta Android Developer

      Kompetenzen, die Sie erwerben: Computer Programming, Mobile Development, Web Development, Android Development, Software Engineering, Javascript, Other Programming Languages, React (web framework), Application Development, Programming Principles, Data Management, Human Computer Interaction, Software Engineering Tools, Front-End Web Development, Mobile Development Tools, Software Testing, Theoretical Computer Science, User Experience, Algorithms, Data Structures, Research and Design, Computer Programming Tools, Databases, Interactive Design, Mathematics, SQL, Statistical Programming, User Experience Design, Big Data, Calculus, Entrepreneurship, Market Research, Operations Research, Strategy and Operations, Computational Logic, Computer Architecture, Database Application, Django (Web Framework), Hardware Design, Mathematical Theory & Analysis, Algebra, Communication, Computational Thinking, Computer Science, Linux, Python Programming, Web Design

      4.7

      (2.4k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      Meta

      Meta iOS Developer

      Kompetenzen, die Sie erwerben: Mobile Development, Software Engineering, Computer Programming, Web Development, Swift Programming, iOS Development, Javascript, Theoretical Computer Science, Programming Principles, Mobile Development Tools, React (web framework), Human Computer Interaction, Application Development, Data Management, Data Structures, User Experience, Software Engineering Tools, Algorithms, Front-End Web Development, Software Testing, Software Architecture, Computer Programming Tools, Research and Design, Interactive Design, Mathematics, User Experience Design, Android Development, Big Data, Calculus, Communication, Computer Networking, Entrepreneurship, Market Research, Network Model, Operations Research, Strategy and Operations, Computational Logic, Computer Architecture, Hardware Design, Mathematical Theory & Analysis, Algebra, Computational Thinking, Computer Science, Django (Web Framework), Human Resources, Journalism, Leadership Development, Leadership and Management, Linux, Planning, Project Management, Python Programming, Statistical Programming, Supply Chain and Logistics, Web Design

      4.7

      (2.3k Bewertungen)

      Beginner · Professional Certificate · 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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      Macquarie University

      Excel Skills for Business

      Kompetenzen, die Sie erwerben: Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Plot (Graphics), Data Visualization, Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.9

      (56.5k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      AI Foundations for Everyone

      Kompetenzen, die Sie erwerben: Computer Science, Machine Learning, Applied Machine Learning, Data Science, Computational Thinking, Cloud Computing, IBM Cloud, Natural Language Processing, Computer Programming, Theoretical Computer Science, Deep Learning, Machine Learning Software, Computational Logic, Design and Product, Human Computer Interaction, Interactive Design, Product Design, Computer Vision, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools

      4.7

      (12.7k 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

      (1.9k Bewertungen)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Neural Networks and Deep Learning

      Kompetenzen, die Sie erwerben: Artificial Neural Networks, Deep Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Linear Algebra, Regression, General Statistics, Probability & Statistics, Business Psychology, Computer Programming, Dimensionality Reduction, Entrepreneurship, Feature Engineering, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Applied Machine Learning, Mathematics, Statistical Machine Learning, Machine Learning Software, Bayesian Statistics, Statistical Tests, Algebra, Algorithms, Computational Logic, Computer Architecture, Computer Networking, Data Structures, Estimation, Hardware Design, Markov Model, Mathematical Theory & Analysis, Network Model, Theoretical Computer Science

      4.9

      (117.8k Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Google

      Process Data from Dirty to Clean

      Kompetenzen, die Sie erwerben: Business, Data Analysis, Data Management, SQL, Statistical Programming, Business Analysis, Spreadsheet Software, Data Science, Computational Logic, Computer Programming, Computer Programming Tools, Data Model, Database Design, Databases, Extract, Transform, Load, General Statistics, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Probability & Statistics, Theoretical Computer Science

      4.8

      (10.4k Bewertungen)

      Beginner · Course · 1-3 Months

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      Google Cloud

      Preparing for Google Cloud Certification: Cloud Developer

      Kompetenzen, die Sie erwerben: Cloud Computing, Google Cloud Platform, Information Technology, Operating Systems, Security Engineering, Cloud Platforms, System Security, Cloud API, Kubernetes, Cloud Storage, Computer Architecture, Web Development, Cloud-Based Integration, Full-Stack Web Development, Cloud Applications, Computer Programming, Distributed Computing Architecture, Mathematics, Algebra, Cloud Load Balancing, Google App Engine, Theoretical Computer Science, Cloud Infrastructure, Computer Networking, Docker (Software), Software Framework, System Programming, Cloud Management, Continuous Delivery, Continuous Integration, DevOps, Bioinformatics, Computational Logic, Computer Programming Tools, Machine Learning, Mathematical Theory & Analysis, Natural Language Processing, Network Model, Operations Management, Probability & Statistics, Software As A Service, Software Engineering, Strategy and Operations, Application Development, Big Data, Billing & Invoicing, Cloud Engineering, Computational Thinking, Data Management, Databases, Extract, Transform, Load, Finance, Machine Learning Software, Performance Management, Software Architecture

      4.7

      (50.4k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Python for Data Science, AI & Development

      Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Structures, Programming Principles, Algebra, Basic Descriptive Statistics, Exploratory Data Analysis, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Statistical Programming, Theoretical Computer Science

      4.6

      (31k Bewertungen)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Applied Data Science with Python

      Kompetenzen, die Sie erwerben: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33.1k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science with R

      Kompetenzen, die Sie erwerben: R Programming, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Data Mining, Data Visualization, SQL, Basic Descriptive Statistics, General Statistics, Data Management, Data Visualization Software, Databases, Interactive Data Visualization, Statistical Analysis, Statistical Programming, Statistical Visualization, Probability & Statistics, Data Analysis Software, Database Theory, Regression, Statistical Tests, Big Data, Software Visualization, Data Structures, User Experience, Machine Learning, Probability Distribution, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Visualization (Computer Graphics), Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Science, Extract, Transform, Load, Marketing, Programming Principles, Theoretical Computer Science

      4.5

      (582 Bewertungen)

      Beginner · Specialization · 3-6 Months

    Suchanfragen mit Bezug zu logic

    logic for economists
    introduction to logic
    introduction to logic and critical thinking
    pensamento crítico, lógica e argumentação
    digital systems: from logic gates to processors
    vlsi cad part i: logic
    sistemas digitales: de las puertas lógicas al procesador
    installation et gestion des paquets logiciels sous linux
    1…456…84

    Zusammenfassend sind hier 10 unserer beliebtesten logic Kurse

    • Meta Android Developer: Meta
    • Meta iOS Developer: Meta
    • Business Analytics: University of Pennsylvania
    • Excel Skills for Business: Macquarie University
    • AI Foundations for Everyone: IBM Skills Network
    • Advanced Learning Algorithms: DeepLearning.AI
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Process Data from Dirty to Clean: Google
    • Preparing for Google Cloud Certification: Cloud Developer: Google Cloud
    • Python for Data Science, AI & Development: IBM Skills Network

    Häufig gestellte Fragen zum Thema Logik

    • Logic is the study of reasoning, which is a method of thinking that helps people decide what’s true or false. It often involves writing out statements to reach a conclusion about whether something is true or it exists in a certain way. For example, if A = B and B = C, does A = C? While this transitive law is an important element of logic, and one many of us might think of when we imagine the concept itself, there’s plenty of other interesting things to learn about this area of study. Logic is important in the study of philosophy and social sciences. It’s also vital in the fields of mathematics, including statistics and data analysis, and in computer programming, which utilizes logic to run the algorithms that power programs and interpret and compile data.‎

    • Studying logic helps you form better arguments when writing papers or engaging in a debate with someone, and it can improve your critical thinking skills as you consume media and advertising. It’s also an essential concept in computing and mathematics, where knowing how to formulate logical proofs is a foundational aspect of programming and working with different theories. Logic may seem like an esoteric concept relegated to robed philosophers of yore, but it’s possibly more relevant than ever in today’s world.‎

    • Careers that allow you to put your knowledge of logic to work include jobs as a banker or finance professional, doctor, detective and lawyer, but work as a computer programmer also often utilizes logic — both from you and in the programs you write. Logical thinking isn’t limited to one career field — there’s a whole world of opportunity out there that you can access as you learn more about logic concepts, whether they involve critical thinking and mathematical thinking and other reasoning skills. You’ll apply it while solving problems, while configuring data structures and even while assessing code other programmers have written. Knowledge of logic helps you learn to think differently, which you can use to your benefit in any career you dream of.‎

    • Signing up for online courses on Coursera can open you up to a new world of innovative learning when you’re ready to develop those new-to-you skills in an environment that makes discoveries more accessible than ever before. Logical thinking is essential in everyday life, and it’s also one of the fundamental skills you’ll call on if you’re pursuing a career in computer science or programming. To started with the basics, take a course that teaches you how to construct inductive arguments and recognize fallacies as you’re introduced to basic concepts in logic and critical thinking. When you're ready for more, consider earning a specialization in discrete mathematics as you learn the role of logic in mathematical thinking. What you study and when are up to you, and taking online classes removes obstacles to pursuing topics you find fascinating.‎

    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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