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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
      U

      University of California, Irvine

      The Arduino Platform and C Programming

      Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Hardware, Integrated Development Environments, Electronic Components, Development Environment, Computer Programming Tools, Computer Hardware, Computer Programming, Digital Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recruiting, Hiring, and Onboarding Employees

      Skills you'll gain: Workforce Planning, Employee Onboarding, Recruitment, Recruitment Strategies, Talent Acquisition, Job Analysis, Human Resources, Human Resource Strategy, Workforce Management, Employee Engagement, Talent Sourcing, Interviewing Skills

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

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Berklee

      The Business of Music Production

      Skills you'll gain: Music, Contract Negotiation, Musical Composition, Intellectual Property, Lawsuits, Peer Review, Music History, Active Listening, Legal Proceedings, Constructive Feedback, Law, Regulation, and Compliance, Ethical Standards And Conduct, Instrumental Music, Legal Strategy, Media Production, Professional Networking, Music Theory, Post-Production, Digital Assets, Business Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Warehousing, Database Design, Data Integration, Extract, Transform, Load, Data Modeling, Star Schema, Relational Databases, Snowflake Schema, Data Architecture, Business Intelligence, SQL, Pivot Tables And Charts, Data Mart, PostgreSQL, Data Transformation, Data Quality

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Embedded Systems Software and Development Environments

      Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, System Programming, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Design, Hardware Architecture, Debugging, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      639 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      463 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Foundations of Management

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Marketing Strategies, Strategic Marketing, Marketing, Organizational Leadership, Brand Management, Income Statement, Cash Flows, Brand Marketing, People Management, Financial Accounting, Operational Analysis, Team Management, Working Capital, Balance Sheet, Team Building, Financial Analysis, Business Analysis, Organizational Effectiveness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Mindfulness and Well-being: Foundations

      Skills you'll gain: Mindfulness, Self-Awareness, Mental Health, Mental Concentration, Stress Management, Personal Development, Resilience, Cognitive flexibility, Persistence, Overcoming Obstacles, Emotional Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      828 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data structures and algorithms

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

    • The Arduino Platform and C Programming: University of California, Irvine
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Recruiting, Hiring, and Onboarding Employees: University of Minnesota
    • Machine Learning in Production: DeepLearning.AI
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • The Business of Music Production: Berklee
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
    • Generative AI for Executives and Business Leaders: IBM
    • Foundations of Management: IESE Business School

    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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