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    Results for "algorithms"

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronics Engineering, Electronics, Numerical Analysis, Engineering Analysis, Telecommunications, Linear Algebra, Calculus, Mathematical Modeling, Quantitative Research, Systems Of Measurement, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Generative AI for Healthcare

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning, Health Technology, Health Informatics, Deep Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Fundamentals of Generative AI for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Artificial Neural Networks, Software Development Tools, Test Data, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      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
      ·
      367 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universitat Pompeu Fabra of Barcelona

      Audio Signal Processing for Music Applications

      Skills you'll gain: Music, Music Theory, Open Source Technology, Data Analysis Software, Python Programming, NumPy, Numerical Analysis, Computer Programming Tools

      4.8
      Rating, 4.8 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique

      Quantum Optics 2 - Two photons and more

      Skills you'll gain: Emerging Technologies, Telecommunications, Cryptography, Network Planning And Design, Simulation and Simulation Software, Physics, Engineering, Scientific, and Technical Instruments, Applied Mathematics, Algorithms, Experimentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      127 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Glasgow

      Generative AI in Education

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Artificial Intelligence, Data Ethics, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      69 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Foundations of Coding Front-End

      Skills you'll gain: Front-End Web Development, Debugging, Programming Principles, Computational Thinking, GitHub, Pseudocode, Version Control, Git (Version Control System), Integrated Development Environments, Microsoft Copilot, Algorithms, Program Development, Computer Programming, Web Development, C# (Programming Language), Software Engineering, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.1
      Rating, 3.1 out of 5 stars
      ·
      44 reviews

      Advanced · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Learn to Teach Java

      Skills you'll gain: Debugging, Object Oriented Programming (OOP), Java, Programming Principles, Pedagogy, Program Development, Integrated Development Environments, Software Design, Computational Thinking, Computer Programming, Cultural Responsiveness, Test Case, Pseudocode, Algorithms, Data Structures, Computer Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • L

      LearnKartS

      Core Java for Complete Beginners

      Skills you'll gain: JUnit, Java, Java Programming, Software Design Patterns, Unit Testing, Object Oriented Programming (OOP), Software Architecture, Debugging, Java Platform Enterprise Edition (J2EE), Software Development, Secure Coding, Maintainability, Software Design, Software Testing, Computer Programming, Test Case, Program Development, Authentications, Application Security, Mathematical Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms, part ii
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    1…404142…119

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

    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Generative AI for Healthcare: Google Cloud
    • Fundamentals of Generative AI for Beginners: Amazon Web Services
    • Machine Learning with Apache Spark: IBM
    • 計算機程式設計 (Computer Programming): National Taiwan University
    • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
    • Quantum Optics 2 - Two photons and more: École Polytechnique
    • Generative AI in Education: University of Glasgow
    • Foundations of Coding Front-End: Microsoft
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign

    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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