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  • Algorithms

Learn Advanced Algorithms Skills

Learn advanced algorithms and data structures to solve complex computational problems efficiently.


Explore Advanced Algorithms Courses


  • 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, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Data Encryption Standard, Applied Mathematics, Computer Science, Program Development, Tree Maps, Encryption, Combinatorics, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    900 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, Graph Theory, 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
    G

    Google

    Google Advanced Data Analytics

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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 3 - 6 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, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Program Development, Advanced Mathematics, Python Programming, Linear Algebra, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 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, Applied Mathematics, Graph Theory, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • E

    EIT Digital

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Linear Algebra, Supervised Learning

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Security & Ethical Hacking: Attacking Web and AI Systems

    Skills you'll gain: Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Personally Identifiable Information, Business Logic

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    557 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
  • Google Advanced Data Analytics: Google
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • I/O-efficient algorithms: EIT Digital
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Google Advanced Data Analytics Capstone: Google
  • Security & Ethical Hacking: Attacking Web and AI Systems: University of Colorado Boulder
  • Semantic Segmentation with Amazon Sagemaker: Coursera

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 Advanced Algorithms

Selecting the right course is crucial for your professional development. Start by identifying your specific learning objectives and areas of interest in Algorithms. Please review the course syllabus with a defined goal to confirm it aligns with your intended outcomes. For added assurance, browse the course reviews or take advantage of Coursera's 7-day free trial to get firsthand experience of the course's content. This will help ensure that the course advances your career and fulfills your needs for enhanced Algorithms proficiency.‎

Advanced courses are designed for those already familiar with Algorithms basics. This goes beyond introductory levels, aiming to transform learners into experts in Algorithms. Consider a beginner or intermediate course first for those still mastering basic features. This ensures the ability to keep up with the advanced material and gain the most from the topics covered.‎

Most Advanced Algorithms Courses offer a completion certificate, suitable for showcasing to potential employers or for inclusion on a LinkedIn profile. Check the course details for information on certificate availability.‎

The journey to expertise is individual, depending on current skills, pace of learning, and available time. A diverse range of advanced Algorithms courses is available with flexible completion timelines, allowing the possibility of reaching an advanced level in just a few weeks with dedication. Mastery in Algorithms is an ongoing process that benefits from regular practice. Courses are structured to accommodate various learning speeds, aiming to guide learners toward Algorithms mastery.‎

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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