Data Structures

Data Structures are specialized formats for organizing, storing, and manipulating data on a computer. They enable efficient access and modification of data, and are fundamental to designing efficient algorithms. Coursera's data structures catalogue teaches you to understand, design, analyze and implement fundamental data structures like arrays, stacks, queues, linked lists, trees, hash tables, and graphs. You'll learn various operations on these data structures, their time and space complexities, and their applications in real-life problem-solving. Grasp the principles of data abstraction and encapsulation to enhance your computational thinking abilities and become proficient as a software engineer, data scientist, programmer, or as someone aspiring to advance in these spheres.
110credentials
6online degrees
422courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "data structures"

  • Status: Free Trial

    Skills you'll gain: Data Structures, Algorithms, Pseudocode, Computational Thinking, Analysis, Big Data, Probability & Statistics, Computer Programming, Python Programming

  • Status: Free Trial

    Skills you'll gain: Ruby (Programming Language), Debugging, Programming Principles, Scripting Languages, Data Structures, Object Oriented Programming (OOP)

  • Status: Free Trial

    Skills you'll gain: Computer Programming, Programming Principles, Data Import/Export, Data Structures, Python Programming, Computer Science, File Management

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Data Processing, Computer Science

  • Status: Free Trial

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability & Statistics, Probability

  • Status: Free Trial

    Skills you'll gain: Algorithms, C++ (Programming Language), Data Structures, Theoretical Computer Science, Computer Programming, Programming Principles, Computational Thinking

  • Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

  • Status: Free Trial

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

  • Status: New
    Status: Preview

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Development Environment, Data Structures, File Management, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages, Debugging

  • Status: Free Trial

    Skills you'll gain: Algorithms, Data Structures, Java, Theoretical Computer Science, Computer Programming, Computational Thinking

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Secure Coding, Data Processing, API Gateway, Cloud Applications, Real Time Data, Data Manipulation, Amazon S3, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing