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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Coding for Designers, Managers, & Entrepreneurs I

      Skills you'll gain: User Story, Prototyping, Maintainability, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Debugging, Wireframing, Web Design and Development, Web Design, User Centered Design, Web Development, User Interface (UI), Peer Review

      4.1
      Rating, 4.1 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Learn Generative AI with LLMs

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Natural Language Processing, Computer Vision, Deep Learning, Predictive Modeling, Text Mining, Data Ethics, Image Analysis, Classification And Regression Tree (CART), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, OpenAI, Supervised Learning, Personally Identifiable Information

      3.7
      Rating, 3.7 out of 5 stars
      ·
      41 reviews

      Intermediate · Specialization · 3 - 6 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, Artificial Intelligence, Data Ethics, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      L’IA pour tous

      Skills you'll gain: Business Strategy, Artificial Intelligence, Data Ethics, Technology Strategies, Artificial Neural Networks, Business Intelligence, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of Coding Back-End

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Inteligencia Artificial centrada en el ser humano

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Human Factors, Automation, Human Machine Interfaces, Agentic systems, Machine Learning, Human Computer Interaction, Human Centered Design, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence

      Skills you'll gain: Google Cloud Platform, Tensorflow, Artificial Intelligence, Data Ethics, Cloud API, Data Quality, Machine Learning, Applied Machine Learning, Cloud Computing, Business Solutions, Natural Language Processing, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Enterprise and Infrastructure Security

      Skills you'll gain: Infrastructure Security, Cyber Security Strategy, Mobile Security, Enterprise Security, Cyber Risk, Cyber Security Policies, Cybersecurity, Cloud Security, NIST 800-53, Hybrid Cloud Computing, Security Controls, Risk Management Framework, Blockchain, Internet Of Things, Cryptography, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      650 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      324 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms on strings
    algorithms for dna sequencing
    algorithms for battery management systems
    1…434445…119

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

    • Coding for Designers, Managers, & Entrepreneurs I: University of Virginia
    • AI for Scientific Research: LearnQuest
    • Learn Generative AI with LLMs: Edureka
    • Fundamentals of Generative AI for Beginners: Amazon Web Services
    • L’IA pour tous: DeepLearning.AI
    • Foundations of Coding Back-End: Microsoft
    • Inteligencia Artificial centrada en el ser humano: Tecnológico de Monterrey
    • Innovating with Google Cloud Artificial Intelligence: Google Cloud
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Detección de objetos: Universitat Autònoma de Barcelona

    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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