Pseudocode

Pseudocode is a simplified, high-level version of programming language used for expressing algorithms or programming logic in human-readable format. Coursera's Pseudocode catalogue teaches you how to express complex algorithms succinctly, enhancing your problem-solving skills and providing a solid foundation for translating these algorithms into any programming language. You'll learn to draft and optimize pseudocode for data structures, sorting and searching algorithms, and software design patterns among others. As you develop expertise in visualizing and communicating programming logic through pseudocode, you prepare yourself for roles such as software engineer, systems analyst, data scientist or any position requiring strong analytical thinking and algorithmic understanding.
19credentials
34courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

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

Learning Product
Required

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.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "pseudocode"

  • Status: Preview

    Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Problem Solving, Analytical Skills, Computer Science, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Debugging

  • Status: Free Trial

    Skills you'll gain: Pseudocode, C++ (Programming Language), Integrated Development Environments, Object Oriented Programming (OOP), Algorithms, Debugging, Programming Principles, Data Validation, Data Structures, File Management

  • 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

    University of Michigan

    Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

  • Status: Preview

    Skills you'll gain: Unified Modeling Language, Debugging, Object Oriented Programming (OOP), Python Programming, Computer Programming, System Programming, Pseudocode, Program Development, Scripting Languages, Software Design, Data Structures, UI Components, File Management

  • Status: Free Trial

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

  • 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: Prompt Engineering, Debugging, ChatGPT, Pseudocode, Web Development, Web Development Tools, Artificial Intelligence, Application Development, Software Development, Programming Principles, Software Engineering

  • Status: Free Trial

    Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

  • Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis

  • Status: Preview

    Skills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Mathematical Modeling, Applied Mathematics, Computer Science

What brings you to Coursera today?

Leading partners

  • Meta
  • Scrimba
  • Microsoft
  • University of London
  • IBM
  • Packt
  • Peking University
  • University of Alberta