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ProgrammingbeginnerPremium
Data Structures & Algorithms for Beginners
Master essential data structures and algorithms from scratch with clear everyday analogies, step-by-step breakdowns, and interactive quizzes.
- 9
- Chapters
- 27
- Topics
- 100
- Lessons
- 1350
- Total XP
About this course
A comprehensive, beginner-friendly course covering Big O notation, memory layouts, arrays, strings, linked lists, stacks, queues, hash tables, hash sets, recursion, searching, sorting, binary search trees, and graphs. Built with simple explanations, zero complex grammar, and interactive checks.
What you'll learn
- Understand algorithms, computational thinking, and how to measure efficiency with Big O notation
- Master how computer memory works, arrays, dynamic arrays, and string operations
- Build and manipulate singly and doubly linked lists with pointers
- Understand Stacks (LIFO) and Queues (FIFO) for order-of-operation tasks
Prerequisites
- Basic understanding of basic coding concepts (variables, loops) in any language or just pure curiosity!
Course outline
Chapter 1
Introduction to Algorithms & Big O Notation
3 topics
Chapter 1
Introduction to Algorithms & Big O Notation
Learn what algorithms are, why efficiency matters, and how programmers measure speed with Big O notation without using a stopwatch.
- What is an Algorithm & Why Does Efficiency Matter?
- Big O Notation: How We Measure Speed & Growth
- Space Complexity: How Much Memory Does It Use?