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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: New
      New
      C

      Coursera Instructor Network

      GenAI for Compensation: Smarter Pay Equity Analysis

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, People Analytics, Generative AI, Workforce Planning, ChatGPT, Job Evaluation, Business Ethics, Predictive Analytics, Prompt Engineering, Human Resources, Artificial Intelligence, Human Resource Strategy

      Intermediate · Course · 1 - 4 Weeks

    • 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, Network Analysis, Computational Thinking, Probability & Statistics

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      163 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI Responsibly

      Skills you'll gain: Data Ethics, Security Awareness, Artificial Intelligence, Diversity Awareness, Risk Management Framework, Ethical Standards And Conduct, Information Privacy, Data Security, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Attention Mechanisms and Transformer Models Course

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Deep Learning, Natural Language Processing, Machine Learning Methods

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compliance Officers: Streamline Regulatory Reports

      Skills you'll gain: Compliance Reporting, Prompt Engineering, Compliance Management, Microsoft Copilot, Generative AI, Regulatory Compliance, Workflow Management, Business Process Automation, Data Validation, Operational Efficiency, Artificial Intelligence, Verification And Validation, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Financial Controllers: Boosting Budget Accuracy

      Skills you'll gain: Financial Forecasting, Dashboard, Budgeting, Financial Management, Predictive Modeling, Forecasting, Power BI, Generative AI, Tableau Software, Business Intelligence, Financial Modeling, Artificial Intelligence, Microsoft Excel, Financial Analysis, Data Visualization Software

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      LLM Engineering with RAG: Optimizing AI Solutions

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Scalability, Generative AI, Data Integration, Artificial Intelligence, Performance Tuning, Application Development, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Technical Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • GenAI for Compensation: Smarter Pay Equity Analysis: Coursera Instructor Network
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Use AI Responsibly: Google
    • How Things Work: An Introduction to Physics: University of Virginia
    • Attention Mechanisms and Transformer Models Course: Simplilearn
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Natural Language Processing - Probability Models in Python: Packt
    • GenAI for Compliance Officers: Streamline Regulatory Reports: Coursera Instructor Network
    • GenAI for Financial Controllers: Boosting Budget Accuracy: Coursera Instructor Network
    • LLM Engineering with RAG: Optimizing AI Solutions: Coursera Instructor Network

    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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