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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate your Software Development Career

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Software Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      158 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador de Meta de Android

      Skills you'll gain: React Native, User Research, UI/UX Research, Persona (User Experience), Restful API, Design Research, Android Studio, Version Control, Kotlin, User Experience Design, Android Jetpack, Unix Commands, Android Development, Interaction Design, Git (Version Control System), GitHub, Algorithms, Jest (JavaScript Testing Framework), Usability, Mobile Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      326 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Unix Commands, Git (Version Control System), GitHub, Database Design, Responsive Web Design, Database Management Systems, Front-End Web Development, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      478 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Cybersecurity Threat Vectors and Mitigation

      Skills you'll gain: Encryption, Cybersecurity, Cyber Attacks, Threat Management, Authentications, Security Strategy, Threat Detection, Network Security, Authorization (Computing), Cryptography, Data Security, Active Directory, Identity and Access Management, Firewall, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Peking University

      操作系统原理(Operating Systems)

      Skills you'll gain: File Systems, Operating Systems, OS Process Management, Computer Systems, System Programming, Unix, Linux, Algorithms, Virtualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      363 reviews

      Intermediate · Course · 3 - 6 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      AI, Empathy & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Deep Learning, Machine Learning, Supervised Learning, Reinforcement Learning, Policy Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      319 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Applied Business Analytics

      Skills you'll gain: Business Analytics, Analytics, Data Processing, Exploratory Data Analysis, Data Literacy, Business Intelligence, Business Process, Jupyter, Data Visualization, Data Manipulation, Data Cleansing, Pandas (Python Package), Data Transformation, Technical Communication, Data-Driven Decision-Making, Integrated Development Environments, Python Programming, Data Structures

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms on graphs
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    algorithms for battery management systems
    1…373839…119

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

    • Generative AI: Elevate your Software Development Career: IBM
    • Machine Learning Introduction for Everyone: IBM
    • Desarrollador de Meta de Android: Meta
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Desarrollador back-end de Meta: Meta
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Cybersecurity Threat Vectors and Mitigation: Microsoft
    • 操作系统原理(Operating Systems): Peking University
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • AI, Empathy & Ethics: 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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