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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 Learning and Development

      Skills you'll gain: Data Ethics, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Education Software and Technology, Training Programs, Artificial Intelligence, Developing Training Materials, Learning Management Systems, Operational Efficiency, Business Ethics, Ethical Standards And Conduct

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Quantitative Aptitude Mastery— Exam & Recruitment Prep

      Skills you'll gain: Arithmetic, Applied Mathematics, Algebra, Systems Of Measurement, Deductive Reasoning, Business Mathematics, Combinatorics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Alberta Machine Intelligence Institute

      Ethics and Responsible Practices in GenAI

      Skills you'll gain: Data Ethics, Business Ethics, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Law, Regulation, and Compliance, Regulatory Compliance, Regulatory Requirements, Governance, Information Privacy, Accountability, Social Studies, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

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

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Copenhagen Business School

      Strategic Management and Innovation

      Skills you'll gain: Business Strategy, Business Planning, Strategic Decision-Making, Strategic Thinking, Plan Execution, Goal Setting, Organizational Strategy, Resource Management, Peer Review, Competitive Analysis, Innovation, Organizational Structure, Project Implementation, Market Analysis, Culture Transformation, Change Management, Business Strategies, Global Marketing, Strategic Communication, Strategic Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Process Optimization, ChatGPT, Productivity Software, Workforce Development, Strategic Thinking, Security Awareness, Diversity Awareness, Risk Management Framework, Digital Transformation, Innovation, Technical Writing, Emerging Technologies, Machine Learning Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      998 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Introduction to Typography

      Skills you'll gain: Typography, Graphic Design, Creative Design, Adobe InDesign, Design, Visual Design, Art History, Design Elements And Principles, Peer Review

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Introduction Course to Autoencoders, VAEs, and GANs

      Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Image Analysis, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Introduction to Sustainability

      Skills you'll gain: Environmental Policy, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Socioeconomics, Policy Analysis, Natural Resource Management, Systems Thinking, Social Sciences, Trend Analysis, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, Data Import/Export, Data Management, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 3 Months

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

    • GenAI for Learning and Development: Coursera Instructor Network
    • Quantitative Aptitude Mastery— Exam & Recruitment Prep: Board Infinity
    • Ethics and Responsible Practices in GenAI: Alberta Machine Intelligence Institute
    • Master Retrieval-Augmented Generation (RAG) Systems: Packt
    • Stay Ahead of the AI Curve: Google
    • Strategic Management and Innovation: Copenhagen Business School
    • Google AI Essentials: Google
    • Introduction to Typography: California Institute of the Arts
    • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
    • Introduction to Sustainability: University of Illinois Urbana-Champaign

    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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