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    • Data Structures And Algorithms

    Data Structures And Algorithms Courses Online

    Master data structures and algorithms for efficient programming. Learn about arrays, linked lists, trees, and sorting algorithms in various programming languages.

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    Explore the Data Structures And Algorithms Course Catalog

    • M

      Microsoft

      Data Structures and Algorithms

      Skills you'll gain: Scalability, Data Structures, Back-End Web Development, .NET Framework, Algorithms, Graph Theory, Computational Thinking, C# (Programming Language), Programming Principles, Performance Tuning, Software Design

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Science, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (II)

      Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (IV)

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Programming Principles, Computer Programming

      2.7
      Rating, 2.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (III)

      Skills you'll gain: Data Structures, Database Design, Programming Principles, Algorithms, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Java: Algorithms

      Skills you'll gain: Algorithms, Data Structures, Java, Theoretical Computer Science, Computer Programming, Programming Principles, Computational Thinking, Program Development

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Codio

      C++: Linear Data Structures and Trees

      Skills you'll gain: Data Structures, C++ (Programming Language), C and C++, Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Codio

      C++: Non-Linear Data Structures

      Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Unordered Data Structures

      Skills you'll gain: Graph Theory, Data Structures, Network Routing, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      549 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Pennsylvania

      Inheritance and Data Structures in Java

      Skills you'll gain: Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), File Systems, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Computer Programming, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      43 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Linear Algebra, Applied Mathematics, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular data structures and algorithms courses

    • Data Structures and Algorithms: Microsoft
    • Advanced Data Structures and Algorithms: Packt
    • Data Structures and Algorithms (II): Tsinghua University
    • Data Structures and Algorithms (IV): Tsinghua University
    • Data Structures and Algorithms (III): Tsinghua University
    • Java: Algorithms: Codio
    • C++: Linear Data Structures and Trees: Codio
    • C++: Non-Linear Data Structures: Codio
    • Unordered Data Structures: University of Illinois Urbana-Champaign
    • Inheritance and Data Structures in Java: University of Pennsylvania

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Data Structures And Algorithms

    Coursera's Data Structures and Algorithms courses equip learners with fundamental and advanced computational skills:

    • Understanding of basic data structures such as arrays, lists, stacks, queues, and trees.
    • Proficiency in more complex data structures like graphs and hash tables.
    • Techniques for algorithm design and analysis, including sorting, searching, and graph algorithms.
    • Skills for solving computational problems and implementing efficient solutions.
    • Best practices for writing clean, efficient, and scalable code.
    • Preparation for technical interviews that require strong algorithmic thinking.‎

    Data Structures and Algorithms courses on Coursera are structured for learners with varying levels of programming expertise:

    • Beginners who have basic programming knowledge can start with introductory courses to build a foundation in data structures and simple algorithms.
    • Those with some experience in coding can enhance their skills with more advanced topics, focusing on algorithmic strategies and data manipulation.
    • Advanced learners can tackle complex problems and study specialized algorithms that are critical for high-level programming and software development.‎

    Completing Data Structures and Algorithms courses on Coursera can lead to a variety of credentials that may support your professional development:

    • Professional certificates that may demonstrate your analytical and coding skills.
    • Specializations that focus on specific areas of algorithms or complex data structures, potentially enhancing your knowledge depth and breadth.
    • Certificates that can be beneficial for career development in software development and engineering roles.‎

    Proficiency in data structures and algorithms is essential for several technical roles across industries:

    • Software Engineer, developing and optimizing complex software applications.
    • Systems Analyst, designing algorithms to improve system performance.
    • Backend Developer, ensuring data is handled efficiently in software solutions.
    • Data Scientist, using algorithmic techniques to analyze large data sets.
    • Technical Product Manager, overseeing the development of products with a strong focus on technical details and performance.‎

    Looking to enhance your team's data structures and algorithms skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data structures and algorithms training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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