A beginner's guide to building core data structures and algorithms from the ground up using the C programming language.
💬AI 강사 어떤 강의든 질문하면 언제든 즉시 명확한 답을 받을 수 있어요.
🕐언제든지 시작 정해진 일정이나 마감이 없어요 — 원할 때 자신의 속도로 배우세요.
🌐한국어로 강의, 과제, 수료증까지 — 모두 완전히 당신의 언어로.
이 과정 소개
Ready to move beyond basic variables and learn how to manage complex data effectively? Understanding data structures is the key to writing efficient, powerful, and scalable C code by mastering how information is stored and manipulated at a low level.
This course provides a clear, step-by-step path to implementing fundamental data structures from scratch. You will not only write the code for lists, stacks, and trees, but you will also learn to analyze their performance, understand their trade-offs, and apply them to solve real-world programming problems with confidence.
What you'll learn:
- Master C pointers, structs, and dynamic memory allocation with `malloc` and `free`.
- Understand algorithmic complexity and analyze code performance using Big O notation.
- Implement fundamental data structures like arrays, linked lists, stacks, and queues.
- Build more complex structures, including binary search trees and hash tables.
- Apply classic searching and sorting algorithms to your data structures.
- Practice writing clean, efficient, and memory-safe C code through hands-on exercises.
The course begins with the essentials of memory management in C before guiding you through the implementation of each major data structure, complete with practical exercises to solidify your understanding.
This course is designed for beginners. A basic grasp of C syntax (variables, loops, and functions) is helpful, but no prior experience with data structures or algorithms is required.
Start your journey to becoming a more proficient C programmer today.
강의 목차
받게 되는 것
📜수료증 LinkedIn 프로필에 추가
💬개인 AI 튜터 강좌에서 막혔나요? 내장 튜터에게 언제든지 무엇이든 물어보세요.
🎧오디오 버전 포함 화면 없이 어디서나 학습
♾️평생 이용 언제든 다시 보세요, 만료 없음
📱휴대폰 또는 컴퓨터 어디서든 모든 기기에서
💸14일 환불 이유 묻지 않음
⚡짧고 핵심적 2시간 42분의 실용 학습
수료증
PickAClass에서 수료하는 모든 강좌는 이런 자격증을 발급합니다 — 원본, 고유 코드, URL 검증 가능, 그리고 실제로 입증한 내용을 상세히 기재.