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    Results for "algorithms"

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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
      ·
      33K reviews

      Beginner · Specialization · 1 - 3 Months

    • S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

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

      Beginner · Course · 1 - 3 Months

    • 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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Tsinghua University

      Data Structures and Algorithms

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

      2.8
      Rating, 2.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Pseudocode, Graph Theory, Theoretical Computer Science, Computer Science, Combinatorics, Design Strategies, Debugging, Probability

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Java: Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Object Oriented Programming (OOP), Performance Tuning

      Intermediate · Specialization · 1 - 3 Months

    • S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Data Structures and Algorithms: The Complete Masterclass

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Performance Tuning, Computational Thinking, Computer Programming, Theoretical Computer Science, Computer Science, Python Programming, C++ (Programming Language), Object Oriented Programming (OOP), Debugging

      Intermediate · Specialization · 3 - 6 Months

    • P

      Peking University

      程序设计与算法

      Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computational Thinking, Graph Theory, C (Programming Language), Programming Principles, Theoretical Computer Science, Program Development, Computer Science, Data Storage, Computer Architecture, Computer Programming, Database Systems, Software Design Patterns, Performance Tuning, Computational Logic, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 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 for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1234…118

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

    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Machine Learning: DeepLearning.AI
    • Graph Search, Shortest Paths, and Data Structures: Stanford University
    • Python for Data Science, AI & Development: IBM
    • Coding Interview Preparation: Meta
    • Data Structures and Algorithms: Tsinghua University
    • Design and Analysis of Algorithms: Clemson University
    • Java: Data Structures and Algorithms: Codio
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Data Structures and Algorithms: The Complete Masterclass: Packt

    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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