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    Results for "algorithms"

    • U

      University of Michigan

      Programmation pour tous (mise en route de Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Algorithms, Software Installation, Computational Thinking, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Mixed · Course · 1 - 3 Months

    • I

      ISC2

      Cryptography

      Skills you'll gain: Cryptography, Key Management, Public Key Infrastructure, Encryption, Data Security, Cybersecurity, Authentications, Email Security, Data Integrity, IT Security Architecture, Virtual Private Networks (VPN), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Quantitative Model Checking

      Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Real-Time Operating Systems, Probability Distribution

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Sistemas Digitales: De las puertas lógicas al procesador

      Skills you'll gain: System Design and Implementation, Application Specific Integrated Circuits, Computer Engineering, Computer Architecture, Embedded Systems, Computational Logic, Hardware Architecture, Digital Design, Verification And Validation, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      249 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      Big Data Emerging Technologies

      Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      302 reviews

      Beginner · Course · 1 - 3 Months

    • N

      National Taiwan University

      計算機程式設計 (Computer Programming)

      Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Computer Science, Algorithms, Program Development, Command-Line Interface, Functional Design, Debugging, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      368 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Programming with C ++

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Principles of Computing (Part 2)

      Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Mathematical Software, Python Programming, Computer Science, Debugging, Data Validation, Game Design, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      364 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Davis

      AI Agents: From Prompts to Multi-Agent Systems

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Artificial Intelligence, ChatGPT, Automation, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to the Threat Intelligence Lifecycle

      Skills you'll gain: Cyber Threat Intelligence, Threat Management, Threat Detection, Data Cleansing, Data Management, Data Validation, Data Quality, Data Integrity, Technical Communication, Automation, Requirements Analysis, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms, part i
    algorithms specialization
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms on graphs
    algorithms for battery management systems
    algorithms on strings
    1…515253…120

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

    • Programmation pour tous (mise en route de Python): University of Michigan
    • Cryptography : ISC2
    • Quantitative Model Checking: EIT Digital
    • An Introduction to Logic for Computer Science: University of Leeds
    • Sistemas Digitales: De las puertas lógicas al procesador: Universitat Autònoma de Barcelona
    • Big Data Emerging Technologies: Yonsei University
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Programming with C ++: Simplilearn
    • Principles of Computing (Part 2): Rice University
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz

    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 Algorithms

    Coursera's algorithms courses offer valuable skills that are foundational in computer science:

    • Understanding and implementing basic and advanced algorithms
    • Analyzing algorithm efficiency and complexity
    • Designing data structures to optimize software applications
    • Problem-solving techniques for tackling computational challenges
    • Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
    • Hands-on programming skills to implement algorithms in various programming languages ‎

    Algorithm courses on Coursera are suitable for all experience levels:

    • Beginners can start with courses that introduce basic concepts and simple algorithms.
    • Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
    • Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

    Coursera offers several ways to validate your skills in algorithms:

    • Professional certificates designed to help build and showcase your analytical skills in technical roles.
    • Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
    • Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

    Skills in algorithms are crucial for a variety of technical careers:

    • Software Engineer, developing efficient, scalable software
    • Data Analyst, using algorithms to process and analyze large data sets
    • Machine Learning Engineer, applying algorithms to build and train intelligent systems
    • Operations Research Analyst, optimizing and improving business processes
    • Academic Researcher, contributing to the advancement of computational theories and practices‎
    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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