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    Results for "algorithms"

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      701 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Codio

      C++: Data Structures and Algorithms

      Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), Programming Principles, Object Oriented Programming (OOP), Theoretical Computer Science, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 1 - 3 Months

    • N

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Analysis of Algorithms

      Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Pseudocode, Computational Thinking, Programming Principles, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      494 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Computational Logic, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Program Development, Analysis, Design Strategies, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Coding Interview Preparation

      Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Computer Science, Technical Communication, Computational Logic, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      692 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Structures and Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, C# (Programming Language), Performance Tuning, Programming Principles, Microsoft Development Tools, Scalability

      Beginner · Course · 1 - 3 Months

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Combinatorics, Performance Testing, Computer Science, Computer Programming, Design Strategies, Probability, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Theoretical Computer Science, Database Design, Computer Programming, Query Languages, Computer Science, System Design and Implementation

      2.8
      Rating, 2.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    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 for dna sequencing
    algorithms on strings
    algorithms for battery management systems
    1234…120

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

    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • C++: Data Structures and Algorithms: Codio
    • Operations Research (2): Optimization Algorithms: National Taiwan University
    • Analysis of Algorithms: Princeton University
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Machine Learning: DeepLearning.AI
    • Python for Data Science, AI & Development: IBM
    • Coding Interview Preparation: Meta
    • Data Structures and Algorithms: Microsoft

    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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