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    Results for "advanced algorithms"

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      699 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Epidemiology, Social Network Analysis, C++ (Programming Language), Software Testing, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Data Techniques for Enterprise AI Systems

      Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      853 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Algorithms

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      B

      Birla Institute of Technology & Science, Pilani

      Algorithm Design: Mastering Computational Problem Solving

      Skills you'll gain: Computer Science, Machine Learning Algorithms, Solution Design, Problem Solving, Mathematical Theory & Analysis, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Program Structure and Algorithms Part 1

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      C++: Data Structures and Algorithms

      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)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Advanced Machine Learning Techniques

      Skills you'll gain: Data Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, Computer Hardware, Cryptography, Python Programming, Computer Programming, Computational Thinking, Emerging Technologies, Technical Documentation, Theoretical Computer Science, Linear Algebra, Simulations

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to advanced algorithms

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    In summary, here are 10 of our most popular advanced algorithms courses

    • Advanced Algorithms and Complexity: University of California San Diego
    • Data Structures and Algorithms: University of California San Diego
    • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Algorithms, Part I: Princeton University
    • Advanced Learning Algorithms: DeepLearning.AI
    • Algorithms: Stanford University
    • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
    • Program Structure and Algorithms Part 1: Northeastern University
    • C++: Data Structures and Algorithms: Codio

    Frequently Asked Questions about Advanced Algorithms

    Selecting the right course is crucial for your professional development. Start by identifying your specific learning objectives and areas of interest in Algorithms. Please review the course syllabus with a defined goal to confirm it aligns with your intended outcomes. For added assurance, browse the course reviews or take advantage of Coursera's 7-day free trial to get firsthand experience of the course's content. This will help ensure that the course advances your career and fulfills your needs for enhanced Algorithms proficiency.‎

    Advanced courses are designed for those already familiar with Algorithms basics. This goes beyond introductory levels, aiming to transform learners into experts in Algorithms. Consider a beginner or intermediate course first for those still mastering basic features. This ensures the ability to keep up with the advanced material and gain the most from the topics covered.‎

    Most Advanced Algorithms Courses offer a completion certificate, suitable for showcasing to potential employers or for inclusion on a LinkedIn profile. Check the course details for information on certificate availability.‎

    The journey to expertise is individual, depending on current skills, pace of learning, and available time. A diverse range of advanced Algorithms courses is available with flexible completion timelines, allowing the possibility of reaching an advanced level in just a few weeks with dedication. Mastery in Algorithms is an ongoing process that benefits from regular practice. Courses are structured to accommodate various learning speeds, aiming to guide learners toward Algorithms mastery.‎

    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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