Algorithms

Algorithms are a set of detailed instructions or rules designed to achieve a specific outcome or solve a particular problem, often within the realm of computer programming. Coursera's algorithm catalogue guides you in understanding, constructing, and applying algorithms effectively. You'll learn about algorithmic paradigms like divide and conquer, dynamic programming, and greedy algorithms, as well as data structures that support these algorithms. Additionally, you will understand the principles of algorithm complexity, allowing you to create more efficient and effective algorithms. This knowledge will be beneficial whether you're a budding programmer, a seasoned software engineer, or someone interested in enhancing their problem-solving skills in the digital landscape.
73credentials
3online degrees
470courses

Results for "algorithms"

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Social Network Analysis, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

  • Status: Free

    Princeton University

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

  • Status: Free Trial

    Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, Pseudocode, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability

  • Status: Free Trial

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

  • Status: Free

    Princeton University

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Computer Programming, Network Routing, Cryptography, Java Programming, Linear Algebra

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  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computer Programming, Computational Thinking, Cryptography, Computer Science, Programming Principles, Pseudocode, Applied Mathematics, Tree Maps, Encryption, Python Programming, Combinatorics, Advanced Mathematics, Analysis, Mathematical Modeling

  • Status: Free Trial

    Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Java Programming, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Software Development, Programming Principles, Debugging, Scalability

  • Status: Free Trial

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Computer Science, Technical Communication, Program Development, Communication

  • Status: Free Trial

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

  • Status: Free Trial

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability

  • Status: Free

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

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  • This role has a $169,700 median salary ¹.

    description:

    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

    Offered by

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    This role has a $146,304 median salary ¹.

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