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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 Michigan

      Leading People and Teams

      Skills you'll gain: Talent Management, Team Motivation, Team Building, Teamwork, Team Management, Talent Pipelining, Influencing, Team Leadership, People Development, Team Performance Management, Employee Onboarding, Employee Coaching, Conflict Management, Employee Engagement, Interviewing Skills, Persuasive Communication, Leadership, Professional Networking, Business Leadership, Leadership Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Bits and Bytes of Computer Networking

      Skills you'll gain: Computer Networking, Network Troubleshooting, Network Administration, TCP/IP, Network Protocols, Network Routing, Dynamic Host Configuration Protocol (DHCP), Virtual Private Networks (VPN), Network Security, Wireless Networks, Network Model, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Project Management Principles and Practices

      Skills you'll gain: Cost Estimation, Stakeholder Management, Project Risk Management, Project Controls, Project Schedules, Work Breakdown Structure, Project Performance, Estimation, Conflict Management, Quality Management, Change Control, Project Management, Timelines, Milestones (Project Management), Project Planning, Peer Review, Budgeting, Scheduling, Project Management Life Cycle, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: Storyboarding, Wireframing, Responsive Web Design, User Experience Design, Design Thinking, User Research, UI/UX Research, Information Architecture, Figma (Design Software), Usability Testing, Professional Networking, User Story, Web Design, Design Reviews, Usability, Presentations, User Experience, Design Research, Ideation, Interviewing Skills

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      DeepLearning.AI Data Analytics

      Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Dashboard, Tableau Software, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Data Validation, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Data Integration, Infrastructure as Code (IaC), Terraform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      447 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Artificial Intelligence, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Generative AI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yale University

      The Science of Well-Being

      Skills you'll gain: Personal Development, Positive Behavior Support, Goal Setting, Resilience, Self-Awareness, Behavioral Economics, Adaptability, Mental Health, Productivity, Psychology, Social Skills, Mindfulness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      39K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Jupyter, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Access, TCP/IP, Python Programming, Hypertext Markup Language (HTML), Data Capture, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to data structures and algorithms

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    1…111213…834

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

    • Leading People and Teams: University of Michigan
    • The Bits and Bytes of Computer Networking: Google
    • Project Management Principles and Practices: University of California, Irvine
    • Google UX Design: Google
    • DeepLearning.AI Data Analytics: DeepLearning.AI
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • IBM & Darden Digital Strategy: IBM
    • The Science of Well-Being: Yale University
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Using Python to Access Web Data: University of Michigan

    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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