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    Results for "algorithms"

    • U

      University of Toronto

      Motion Planning for Self-Driving Cars

      Skills you'll gain: Algorithms, Computer Vision, Simulations, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      481 reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on Google Cloud

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      239 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Data Structures, Programming Principles, Algorithms, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, API Design, Maintainability, Computer Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      160 reviews

      Intermediate · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Mathematical Software, Engineering Calculations, Computer Programming, Programming Principles, Engineering Analysis, Scripting, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      417 reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Java for Android

      Skills you'll gain: Android Studio, Android Development, Object Oriented Programming (OOP), Java Programming, Java, Mobile Development, Data Structures, Integrated Development Environments, Computer Programming, Development Environment, Debugging, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Applied Mathematics, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Introduction to Recommender Systems: Non-Personalized and Content-Based

      Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Statistical Methods, Persona Development, Descriptive Statistics, Data Collection, Algorithms, Java Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      647 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Data Science, Statistical Modeling, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      270 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Algorithmic Solutions: Design, Problem Solving, Reporting

      Skills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Computer Science

      4.4
      Rating, 4.4 out of 5 stars
      ·
      22 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
    algorithms for battery management systems
    algorithms on strings
    1…282930…119

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

    • Motion Planning for Self-Driving Cars: University of Toronto
    • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
    • C Programming for Everybody: University of Michigan
    • Mastering Programming with MATLAB: Vanderbilt University
    • Java for Android: Vanderbilt University
    • Number Theory and Cryptography: University of California San Diego
    • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
    • Genome Assembly Programming Challenge: University of California San Diego
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus

    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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