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    Results for "algorithms"

    • T

      The University of Edinburgh

      Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

      Skills you'll gain: Artificial Intelligence, Agentic systems, Psychology, Anthropology, Human Learning, Human Development, Machine Learning, Science and Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Arrays, Lists, and Structured Data

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Java, Software Engineering, Algorithms, Encryption, Programming Principles, Data Analysis, Web Servers, Statistical Methods, File Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Mathematical Modeling, Applied Mathematics, Combinatorics, Theoretical Computer Science, Data Structures, Pseudocode, Computational Thinking, Mathematical Theory & Analysis, Numerical Analysis, Graph Theory, Design Strategies, Network Routing, Image Analysis, Bioinformatics, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      الذكاء الاصطناعي للجميع

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Business Analysis, Data Ethics, Machine Learning, Data Science, Business Strategy, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      910 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      276 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Code Review, Software Development, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      447 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms on graphs
    algorithms on strings
    algorithms for dna sequencing
    algorithms for battery management systems
    1…181920…119

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

    • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
    • Java Programming: Arrays, Lists, and Structured Data: Duke University
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • 算法设计与分析 Design and Analysis of Algorithms: Peking University
    • الذكاء الاصطناعي للجميع: DeepLearning.AI
    • Finding Hidden Messages in DNA (Bioinformatics I): University of California San Diego
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Computational Social Science: University of California, Davis
    • Introduction to AI: Google
    • Probabilistic Graphical Models 1: Representation: Stanford University

    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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