Coursera
Online-AbschlüsseFinden Sie JobsFür UnternehmenFür Universitäten
  • Blättern
  • Beliebte Kurse
  • Anmelden
  • Kostenlose Teilnahme
    Coursera
    • Blättern
    • Data Structures And Algorithms

    Filtern nach

    219 Ergebnisse für „data structures and algorithms“

    • University of California San Diego

      University of California San Diego

      Data Structures and Algorithms

      Kompetenzen, die Sie erwerben: Algorithms, Arrays, C Programming Language Family, Computer Programming, Data Management, Data Structures, Entrepreneurship, Graph Theory, Leadership and Management, Matching, Mathematical Theory & Analysis, Mathematics, Operations Research, Problem Solving, Research and Design, Strategy and Operations, Theoretical Computer Science

      4.6

      (15.1k Bewertungen)

      Intermediate · Specialization

    • Kostenlos

      Princeton University

      Princeton University

      Algorithms, Part I

      Kompetenzen, die Sie erwerben: Sorting, Theoretical Computer Science, Entrepreneurship, Algorithms, Data Structures, Computer Programming, Research and Design, Problem Solving, Leadership and Management, Java (Software Platform), Data Management

      4.9

      (9.6k Bewertungen)

      Intermediate · Course

    • Stanford University

      Stanford University

      Algorithms

      Kompetenzen, die Sie erwerben: Algorithms, Analysis, Computer Programming, Data Management, Data Structures, Entrepreneurship, General Statistics, Graph Theory, Leadership and Management, Machine Learning, Mathematics, Operations Research, Path (Variable), Probability & Statistics, Problem Solving, Programming Principles, Research and Design, Strategy and Operations, Theoretical Computer Science

      4.8

      (5.4k Bewertungen)

      Intermediate · Specialization

    • Kostenlos

      Princeton University

      Princeton University

      Algorithms, Part II

      Kompetenzen, die Sie erwerben: Sorting, Graphs, Theoretical Computer Science, Algorithms, Data Structures, Java (Software Platform), Data Management

      4.9

      (1.7k Bewertungen)

      Intermediate · Course

    • University of California San Diego

      University of California San Diego

      Data Structures

      Kompetenzen, die Sie erwerben: Algorithms, C Programming Language Family, Theoretical Computer Science, Computer Programming, Data Type, Data Structures, Data Management

      4.6

      (4.9k Bewertungen)

      Intermediate · Course

    • University of Colorado Boulder

      University of Colorado Boulder

      Data Science Foundations: Data Structures and Algorithms

      Kompetenzen, die Sie erwerben: Algorithms, Computational Logic, Computer Programming, Data Management, Data Structures, Graph Theory, Mathematical Theory & Analysis, Mathematics, Operating Systems, Operations Research, Other Programming Languages, Programming Principles, Research and Design, Strategy and Operations, System Programming, Theoretical Computer Science

      4.6

      (183 Bewertungen)

      Advanced · Specialization

    • Placeholder
      University of Michigan

      University of Michigan

      Python for Everybody

      Kompetenzen, die Sie erwerben: Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Databases, Extract, Transform, Load, Javascript, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Theoretical Computer Science, Web Development

      4.8

      (250.3k Bewertungen)

      Beginner · Specialization

    • Placeholder
      University of California San Diego

      University of California San Diego

      Object Oriented Java Programming: Data Structures and Beyond

      Kompetenzen, die Sie erwerben: Algorithms, Communication, Computer Architecture, Computer Programming, Data Management, Data Structures, Entrepreneurship, Graph Theory, Hardware Design, Java (Software Platform), Java Programming, Leadership and Management, Mathematics, Mobile Development, Object-Oriented Programming, Problem Solving, Programming Principles, Theoretical Computer Science, Web Development

      4.7

      (6.8k Bewertungen)

      Intermediate · Specialization

    • Placeholder
      Google

      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 Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Ggplot2, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Plot (Graphics), Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design

      4.8

      (64.6k Bewertungen)

      Beginner · Professional Certificate

    • Placeholder
      Rice University

      Rice University

      Fundamentals of Computing

      Kompetenzen, die Sie erwerben: Algorithms, Applied Mathematics, Computer Programming, Data Management, Data Structures, Entrepreneurship, Interactivity, Leadership and Management, Mathematics, Probability & Statistics, Problem Solving, Python Programming, Research and Design, Statistical Programming, Theoretical Computer Science

      4.8

      (3.8k Bewertungen)

      Beginner · Specialization

    • Placeholder
      Tsinghua University

      Tsinghua University

      Data Structures and Algorithms

      Kompetenzen, die Sie erwerben: Theoretical Computer Science

      2.5

      (32 Bewertungen)

      Intermediate · Specialization

    • Placeholder

      Kostenlos

      Princeton University

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Kompetenzen, die Sie erwerben: Computational Thinking, Computer Networking, Algorithms, Computer Program, Mathematical Theory & Analysis, Architecture, Computer Architecture, Theoretical Computer Science, Mathematics, Programming Principles, Computer Programming Tools, Computational Logic, Computer Programming, Data Structures, Network Architecture, Human Computer Interaction, Java Programming, Mobile Development, Data Management

      4.8

      (343 Bewertungen)

      Intermediate · Course

    Suchanfragen mit Bezug zu data structures and algorithms

    data structures and algorithms in java
    data structures and algorithms specialization
    data structures and algorithms in python
    data structures and algorithms in c++
    data structures and algorithms (i)
    data structures and algorithms (iv)
    data structures and algorithms (ii)
    data structures and algorithms (iii)
    1234…19

    Zusammenfassend sind hier 10 unserer beliebtesten data structures and algorithms Kurse

    • Data Structures and Algorithms: University of California San Diego
    • Algorithms, Part I: Princeton University
    • Algorithms: Stanford University
    • Algorithms, Part II: Princeton University
    • Data Structures: University of California San Diego
    • Data Science Foundations: Data Structures and Algorithms: University of Colorado Boulder
    • Python for Everybody: University of Michigan
    • Object Oriented Java Programming: Data Structures and Beyond: University of California San Diego
    • Google Data Analytics: Google
    • Fundamentals of Computing: Rice University

    Fähigkeiten, die Sie bei Algorithms erlernen können

    Graphen (22)
    Mathematische Optimierung (21)
    Computerprogramm (20)
    Datenstruktur (19)
    Problemlösung (19)
    Algebra (12)
    Computervision (10)
    Diskrete Mathematik (10)
    Graphentheorie (10)
    Bildverarbeitung (10)
    Lineare Algebra (10)
    Verstärkungslernen (10)

    Häufig gestellte Fragen zum Thema Data Structures And Algorithms

    • Data Structures and Algorithms work together to solve computational problems, usually by enabling an algorithm to manipulate data efficiently. The algorithm uses a set of rules (the data) to find the greatest common divisor, with one example being YouTube tracking a user’s activities to display videos relevant to them. Actions such as “liking” or “disliking” a video create data structures that inform the direction of the algorithm, bringing content to users that they are more likely to find engaging.

      In the field of Marketing, Data Structures and Algorithms are commonly used to help organizations determine how to attract an audience to their online content—but they’re also used in the field of healthcare in Medical Algorithms. These are important to learn in order to calculate someone’s BMI, drug dosages, and more.‎

    • Data Structures and Algorithms go together like the tech industry and career opportunities—as long as people are using computers, they’ll both be in abundance. When concepts like running times, binary searches, dynamic programming, and others are nailed down, learners can begin to explore the wide variety of roles available to them. These roles include Platform Engineer, Graphics Engineer, Full-Stack Engineer, Backend Engineer, Product Analyst, Data Scientist, Data Engineer, Big Data Engineer, Data Architect, Application Developer, Mobile Developer, and others that are related.

      A search of “Data Structures and Algorithms” on LinkedIn’s job portal shows roughly 11,500 results in the U.S. alone, with opportunities at large and small tech firms.‎

    • Data Structures and Algorithms courses offered through Coursera equip learners with knowledge in common data structures that are used in various computational problems; typical use cases for certain data structures; principles and methods in the design and implementation of various data structures; and more.

      Lessons on Data Structures and Algorithms are taught by instructors from major universities, including University of California at San Diego and Tsinghua University. Learners can enjoy exploring Data Structures and Algorithms with instructors specializing in Computer Science, Technology, Mathematics, and other disciplines. Course content on Data Structures and Algorithms is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    • Some of the skills or experience you may need to have before learning data structures and algorithms include coding, some programming concepts, and a basic understanding of Java and Object-Oriented Programming (OOP). If you understand the concept of sorting algorithms, you may already have some skills needed to study the subject. Also, if you have an understanding of basic data structures such as linked lists, queues, matrices, stacks, and trees, you may have some solid skills needed to learn data structures and algorithms.‎

    • The kind of people who are best suited for roles in data structures and algorithms are focused on becoming programmers or software engineers/developers who have an emphasis on applications and scientific performance analysis. They are comfortable thinking outside the box for innovative ways to save a company money by using algorithms to solve problems. These professionals enjoy learning about giving computers the right sets of instructions so that they can skillfully solve very complex problems. They may also enjoy working in roles related to data structures and algorithms because they are energized by wanting to make software run properly and efficiently.‎

    • Learning data structures and algorithms may be right for you if you would like to advance your engineering or data science career. If you would like to learn how to apply basic algorithmic techniques, such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges, then studying the subject may be right for you. Learning data structures and algorithms might benefit you if you’d like to understand how to apply various data structures such as a stack, queue, hash table, priority queue, binary search tree, graph, and string to solve programming challenges, as well. But to understand how to reach a good algorithm, you’ll need to understand how to create a set of good data structures. Studying data sets and algorithms can benefit you if you need to learn how data structures are implemented in different programming languages.‎

    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.
    Andere wissenswerte Themen
    Placeholder
    Kunst und Geisteswissenschaften
    338 Kurse
    Placeholder
    Wirtschaft
    1095 Kurse
    Placeholder
    Informatik
    668 Kurse
    Placeholder
    Datenverarbeitung
    425 Kurse
    Placeholder
    Informationstechnologie
    145 Kurse
    Placeholder
    Gesundheit
    471 Kurse
    Placeholder
    Mathematik und Logik
    70 Kurse
    Placeholder
    Persönliche Entwicklung
    137 Kurse
    Placeholder
    Physik und Ingenieurwesen
    413 Kurse
    Placeholder
    Sozialwissenschaften
    401 Kurse
    Placeholder
    Sprachen lernen
    150 Kurse

    Coursera Footer

    Starten oder fördern Sie Ihre Karriere

    • Google Data Analyst
    • Google-Projektmanagement
    • Google-UX-Design
    • Google IT-Support
    • IBM Datenverarbeitung
    • IBM Data Analyst
    • IBM-Datenanalyse mit Excel und R
    • IBM Cybersecurity Analyst
    • IBM Data Engineering
    • IBM Full Stack-Cloudentwickler
    • Facebook Social Media Marketing
    • Facebook Marketinganalyse
    • Salesforce Sales Development Representative
    • Sales Operations in Salesforce
    • Buchhaltung mit Intuit
    • Vorbereitung auf die Google Cloud-Zertifizierung: Cloud Architect
    • Vorbereitung auf die Google Cloud-Zertifizierung: Cloud Data Engineer
    • Eine Karriere starten
    • Auf eine Zertifizierung vorbereiten
    • Bringen Sie Ihre Karriere voran

    Beliebte Themen durchsuchen

    • Kostenlose Kurse
    • Lernen Sie eine Sprache
    • Python
    • Java
    • Webdesign
    • SQL
    • Gratiskurse
    • Microsoft Excel
    • Projektmanagement
    • Cybersicherheit
    • Personalwesen
    • Kostenlose Kurse in Datenverarbeitung
    • Englisch sprechen
    • Inhalte verfassen
    • Full-Stack-Webentwicklung
    • Künstliche Intelligenz
    • C-Programmierung
    • Kommunikationsfähigkeiten
    • Blockchain
    • Alle Kurse anzeigen

    Beliebte Kurse und Artikel

    • Kompetenzen für Datenwissenschaftsteams
    • Datengestützte Entscheidungsfindung
    • Kompetenzen im Bereich Software Engineering
    • Soft Skills für Ingenieurteams
    • Management-Kompetenzen
    • Marketing-Kompetenzen
    • Kompetenzen für Vertriebsteams
    • Produktmanager-Kompetenzen
    • Kompetenzen im Bereich Finanzen
    • Beliebte Kurse in Datenverarbeitung im Vereinigten Königreich
    • Beliebte Technologiekurse in Deutschland
    • Beliebte Zertifizierungen für Cybersicherheit
    • Beliebte IT-Zertifizierungen
    • Beliebte SQL-Zertifizierungen
    • Karriereleitfaden für Marketing-Manager
    • Karriereleitfaden für Projektmanager
    • Python-Programmierkenntnisse
    • Karriereleitfaden für Webentwickler
    • Datenanalysefähigkeiten
    • Kompetenzen für UX-Designer

    Abschluss oder Zertifikat online erwerben

    • MasterTrack® Certificates
    • Zertifikate über berufliche Qualifikation
    • Universitätszertifikate
    • MBA- und Business-Abschlüsse
    • Abschlüsse in Data Science
    • Abschlüsse in Informatik
    • Abschlüsse in Datenanalyse
    • Abschlüsse im Gesundheitswesen
    • Abschlüsse in Sozialwissenschaften
    • Management-Abschlüsse
    • Abschlüsse von europäischen Spitzenuniversitäten
    • Masterabschlüsse
    • Bachelorabschlüsse
    • Studiengänge mit Performance Pathway
    • BSc-Kurse
    • Was ist ein Bachelorabschluss?
    • Wie lange dauert ein Masterstudium?
    • Lohnt sich ein Online-MBA?
    • 7 Finanzierungsmöglichkeiten für die Graduate School
    • Alle Zertifikate anzeigen

    Coursera

    • Info
    • Was wir anbieten
    • Leitung
    • Jobs
    • Katalog
    • Coursera Plus
    • Zertifikate über berufliche Qualifikation
    • MasterTrack® Certificates
    • Abschlüsse
    • Für Unternehmen
    • Für Regierungen
    • Für Campus
    • Werden Sie Partner
    • Reaktion auf das Coronavirus

    Community

    • Kursteilnehmer
    • Partner
    • Entwickler
    • Beta-Tester
    • Übersetzer
    • Blog
    • Tech-Blog
    • Lehrzentrum

    Mehr

    • Presse
    • Anleger
    • Nutzungsbedingungen/AGB
    • Datenschutz
    • Hilfe
    • Barrierefreiheit
    • Kontakt
    • Artikel
    • Verzeichnis
    • Partnerunternehmen
    • Stellungnahme zu moderner Sklaverei
    Überall lernen
    Aus dem App Store herunterladenErhältlich bei Google Play
    Placeholder
    © 2022 Coursera Inc. Alle Rechte vorbehalten.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder