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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
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Validation, Business Analysis, Business Analytics, Data Import/Export, Data Maintenance, Process Optimization, Data Analysis Software, Business Modeling, Automation

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Embeddings & Text Preprocessing in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Applied Machine Learning, Machine Learning Methods, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Unordered Data Structures

      Skills you'll gain: Graph Theory, Data Structures, Network Routing, Algorithms, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Generative AI Essentials: Overview and Impact

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Natural Language Processing, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Technical Communication, Social Sciences, Economics, Intellectual Property

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Digital Manufacturing & Design Technology

      Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Product Lifecycle Management, Intrusion Detection and Prevention, Security Controls, Performance Measurement, Control Systems, Continuous Monitoring, Anomaly Detection, Machine Controls, Incident Response, Digital Transformation, Vulnerability Assessments, Process Analysis, Data Sharing, Manufacturing Processes, Manufacturing Operations, Product Design, Manufacturing and Production, Constructive Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      Universidades Anáhuac

      Visualización de datos efectiva

      Skills you'll gain: Interactive Data Visualization, Infographics, Data Storytelling, Data Visualization Software, User Experience Design, Multimedia, Dashboard, Data Analysis, Information Architecture, Timelines, Collaborative Software, Design Elements And Principles

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Berklee

      How to Play Guitar

      Skills you'll gain: Music Theory, Music, Music Performance, Instrumental Music, Performing Arts, Musical Composition, Creativity

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

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Advertising Campaigns, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      F

      Fractal Analytics

      Generative AI for HR Professionals

      Skills you'll gain: Prompt Engineering, HR Tech, Generative AI Agents, Data Ethics, ChatGPT, Human Resources, Verification And Validation, Ethical Standards And Conduct, Recruitment, Employee Engagement, Talent Acquisition, Diversity and Inclusion, Compliance Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Genomic Technologies: Johns Hopkins University
    • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
    • NLP – Embeddings & Text Preprocessing in Python: Packt
    • Unordered Data Structures: University of Illinois Urbana-Champaign
    • Generative AI Essentials: Overview and Impact: University of Michigan
    • Digital Manufacturing & Design Technology: University at Buffalo
    • Visualización de datos efectiva: Universidades Anáhuac
    • How to Play Guitar: Berklee
    • Marketing Analytics: University of Virginia
    • Learn to Program: The Fundamentals: University of Toronto

    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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