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  • Algorithms

Results for "algorithms"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Mathematical Software, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    957 reviews

    Advanced · Specialization · 3 - 6 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, Applied Mathematics, Calculus

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Graph Theory, Theoretical Computer Science, Network Analysis, Computer Science, Big Data, Python Programming, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Algorithms and Problem-Solving Techniques

    Skills you'll gain: Data Structures, Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Analytics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Web Presence, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    189 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Deep RL Algorithms and Applications

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    265 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Cryptographic Protocols, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Mathematical Software, Advanced Mathematics

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Network Model, Combinatorics, Mathematical Modeling, Theoretical Computer Science, Model Optimization, Python Programming, Network Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Presentation, Data Science, Plot (Graphics), Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Machine Learning Algorithms, Correlation Analysis, Advanced Analytics, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Advanced · Specialization · 3 - 6 Months

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

  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Analysis of Algorithms: Princeton University
  • Advanced Algorithms and Complexity: University of California San Diego
  • I/O-efficient algorithms: 28DIGITAL
  • Advanced Algorithms and Problem-Solving Techniques: Packt
  • Google Advanced Data Analytics: Google
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Advanced Deep RL Algorithms and Applications: Packt
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder

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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