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    • Data Structures And Algorithms

    Data Structures and Algorithms Courses

    Data structures and algorithms courses can help you learn how to organize data and solve problems efficiently—core skills for programming, software development, and technical interviews.

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    Find the Best Data Structures And Algorithms Course for Your Goals

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Microservices, Service Level

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Business Continuity, Security Controls, Disaster Recovery, Peripheral Devices, Configuration Management, Cybersecurity, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Applications, Network Troubleshooting, Cloud Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      English for Career Development

      Skills you'll gain: English Language, Vocabulary, Business Writing, Interviewing Skills, Verbal Communication Skills, Business Correspondence, Social Skills, Professional Networking, Professional Development, Business Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • U

      University of London

      Brand Management: Aligning Business, Brand and Behaviour

      Skills you'll gain: Brand Management, Branding, Brand Strategy, Brand Awareness, Employee Engagement, Marketing Management, Global Marketing, Internal Communications, Customer experience strategy (CX), Human Resources, Organizational Change, Consumer Behaviour, Cross-Functional Collaboration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Virginia

      Fundamentals of Project Planning and Management

      Skills you'll gain: Project Planning, Earned Value Management, Stakeholder Management, Risk Management, Project Management, Project Scoping, Milestones (Project Management), Project Schedules, Dependency Analysis, Agile Methodology, Kanban Principles

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      787 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, OpenAI, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Large Language Modeling, Data Synthesis, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      417 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      923 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data structures and algorithms

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    1…252627…834

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

    • Architecting with Google Compute Engine: Google Cloud
    • IBM and ISC2 Cybersecurity Specialist: IBM
    • English for Career Development: University of Pennsylvania
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Brand Management: Aligning Business, Brand and Behaviour: University of London
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Fundamentals of Project Planning and Management: University of Virginia
    • The Power of Statistics: Google
    • Generative AI for Data Engineers: IBM
    • Data Analysis Using Python: University of Pennsylvania

    Why Learn Data Structures and Algorithms?

    Data structures and algorithms form the foundation of computer science, enabling efficient data management and problem-solving. They are essential for writing optimized code, building scalable applications, and succeeding in coding interviews. Learning data structures and algorithms can sharpen your analytical thinking and strengthen your programming skills across languages and platforms.

    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 Data Structures And Algorithms

    Top options include the Data Structures and Algorithm Specialization from the University of California, San Diego, and the Algorithms from Princeton University. These programs cover essential topics like linked lists, trees, sorting, dynamic programming, and algorithmic complexity.‎

    Yes. Many data structures and algorithms courses offer a free audit option, letting learners access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to store and organize data efficiently using data structures like arrays, stacks, queues, and graphs, and how to solve problems using algorithms for searching, sorting, and graph traversal. Many courses also include practice coding exercises and real-world applications.‎

    Some experience with programming is helpful, as these courses typically include coding exercises in languages like Python, Java, or C++. Beginner-level courses often review coding basics before diving into more complex structures and techniques.‎

    Yes. These concepts are critical for software engineering, web development, data science, and technical interviews. Coursera courses can help you master key techniques, build a portfolio of coding solutions, and earn certificates that demonstrate your technical knowledge to employers.‎

    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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