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  3. Algorithms

Results for "algorithms"

  • S

    Stanford Online

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Social Network Analysis, Analysis, Probability

    4.8 stars, 6K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.8 (6K) · Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Bioinformatics, Data Storage, Computer Programming, Analysis, Software Testing, C and C++, Python Programming, Network Analysis, Infectious Diseases, Java Programming, Computer Science, Java, Big Data, Debugging, Rust (Programming Language), Program Development, Javascript

    4.6 stars, 17K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (17K) · Intermediate · Specialization · 3 - 6 Months

    Status: Bestseller
    Bestseller
  • P

    Packt

    50 Algorithms Every Programmer Should Know

    Skills you'll gain: Large Language Modeling, Transfer Learning, Data Ethics, Keras (Neural Network Library), Unsupervised Learning, Cryptography, Model Evaluation, Algorithms, Machine Learning Methods, Deep Learning, Responsible AI, Scalability, Social Network Analysis, Graph Theory, Network Analysis, Data Structures, Machine Learning, Recurrent Neural Networks (RNNs), Python Programming, ChatGPT

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
  • P

    Princeton University

    Algorithms, Part I

    4.9 stars, 12K reviews, Intermediate, Course

    ★ 4.9 (12K) · Intermediate · Course

    Category: Free
    Free

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  • M

    Microsoft

    Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, Algorithms, Back-End Web Development, Performance Tuning, Scalability

    4.6 stars, 45 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (45) · Beginner · Course · 1 - 3 Months

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  • P

    Princeton University

    Algorithms, Part II

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Java Programming, Java

    4.9 stars, 2.1K reviews, Intermediate, Course, 3 - 6 Months

    ★ 4.9 (2.1K) · Intermediate · Course · 3 - 6 Months

    Category: Free
    Free
  • P

    Packt

    Data Structures & Algorithms in Java + 150 Leetcode Problems

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Game Theory, Java, Java Programming, Programming Principles, Performance Tuning, Computer Programming, Problem Solving, Applied Mathematics, Geometry

    Intermediate · Specialization · 3 - 6 Months

  • A

    Amazon

    Data Structures and Algorithms

    Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Data Structures, Java Programming, Algorithms, Software Testing, Java, Test Automation, Test Case, Software Development, Scalability

    4 stars, 64 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4 (64) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Quantum computing, Cryptography, Design Strategies, Encryption, Data Science, Informatics, Computer Science, Mathematical Modeling, Analysis, Python Programming, Model Optimization

    4.7 stars, 987 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.7 (987) · Advanced · Specialization · 3 - 6 Months

    Category: Build toward a degree
    Build toward a degree
  • U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computer Science, Data Structures

    4.3 stars, 31 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.3 (31) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Data Structures and Algorithms: The Complete Masterclass

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

    4.5 stars, 42 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.5 (42) · Intermediate · Specialization · 3 - 6 Months

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Best Algorithms courses from Packt

Top-rated Algorithms courses offered by Packt on Coursera.

  1. 1
    50 Algorithms Every Programmer Should Know
    PacktIntermediate3 - 6 MonthsPackt
  2. 2
    Data Structures & Algorithms in Java + 150 Leetcode Problems
    PacktIntermediate3 - 6 Months5.0(4)Packt
  3. 3
    Data Structures and Algorithms: The Complete Masterclass
    PacktIntermediate3 - 6 Months4.5(42)Packt

Best Algorithms certificate programs

Earn a certificate in Algorithms from top universities and companies.

  1. 1
    Algorithms
    Stanford OnlineIntermediate3 - 6 Months4.8(6,002)Specialization
  2. 2
    Data Structures and Algorithms
    University of California San DiegoIntermediate3 - 6 Months4.6(16,777)Specialization
  3. 3
    Foundations of Data Structures and Algorithms
    University of Colorado BoulderAdvanced3 - 6 Months4.7(987)Specialization

Best Algorithms courses for beginners

Top-rated beginner-friendly Algorithms courses with no prerequisites.

  1. 1
    Data Structures and Algorithms
    MicrosoftBeginner1 - 3 Months4.6(45)No prerequisites
  2. 2
    Data Structures and Algorithms
    AmazonBeginner1 - 4 Weeks4.0(64)No prerequisites
  3. 3
    Problems, Algorithms and Flowcharts
    University of LondonBeginner1 - 4 Weeks4.3(31)No prerequisites

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

A background in algorithms can lead to various career opportunities. Positions such as software developer, data scientist, systems analyst, and algorithm engineer are common paths. Additionally, roles in artificial intelligence and machine learning often require a strong understanding of algorithms. Companies across industries seek professionals who can design and implement effective algorithms to enhance their products and services.‎

To learn algorithms effectively, you should focus on several key skills. First, a solid understanding of programming languages such as Python, Java, or C++ is essential. Familiarity with data structures, such as arrays, linked lists, and trees, is also important, as they are often used in algorithm design. Problem-solving skills and analytical thinking will help you approach challenges creatively and efficiently.‎

There are many excellent online courses available for learning algorithms. For a comprehensive understanding, consider the Data Structures and Algorithms Specialization or the Algorithms Specialization. These programs cover foundational concepts and practical applications, making them suitable for learners at various levels.‎

Yes. You can start learning algorithms on Coursera for free in two ways:

  1. Preview the first module of many algorithms courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in algorithms, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn algorithms, start by selecting a course that matches your current skill level. Engage with the course materials, complete exercises, and practice coding challenges. Utilize online resources, such as coding platforms, to reinforce your learning. Collaborating with peers or joining study groups can also enhance your understanding and provide support.‎

Typical topics covered in algorithms courses include sorting and searching algorithms, graph algorithms, dynamic programming, and algorithm complexity analysis. Additionally, courses may explore advanced topics such as machine learning algorithms and optimization techniques, providing a well-rounded understanding of how algorithms function in various contexts.‎

For training and upskilling employees, courses like the Data Structures and Algorithms Specialization and the Algorithms Specialization are highly recommended. These programs provide a structured approach to learning algorithms, making them suitable for workforce development and enhancing team capabilities in problem-solving and software development.‎

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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