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Data structures and algorithms

학습 계획

Data structures and algorithms

Data structures and algorithms form the foundation of efficient software development and are essential for technical interviews at top tech companies. This learning plan benefits software engineers, computer science students, and anyone looking to write more optimized code or prepare for technical interviews.

ByCommunity User
2 h 13 m
8 코스업데이트 8 hours ago
Algorithms + Data Structures  eq  ProgramsMaster Every Algorithm: Complete Interview Prep GuideAlgorithms to Live By8 sources

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각 에피소드는 세계적인 소스(베스트셀러 도서, 연구 논문, 전문가 인사이트)에서 추출한 간결하고 영향력 있는 레슨을 제공합니다. 이들이 함께 Data structures and algorithms을 마스터하기 위한 세련되면서도 접근하기 쉬운 경로를 형성합니다.

배우게 될 내용

  • Master fundamental data structures like arrays, linked lists, stacks, and queues
  • Develop efficient algorithms for searching, sorting, and data manipulation
  • Analyze algorithm complexity using Big O notation
  • Implement advanced data structures like trees, graphs, and hash tables
  • Apply algorithmic patterns to solve complex programming challenges

Establish a solid understanding of fundamental data structures and algorithmic concepts that form the backbone of computer science and programming.

Algorithms + Data Structures  eq  Programs cover
Algorithms + Data Structures eq Programs

Exploring the interplay between algorithms and data structures in programming.

10 m
podcast cover
How to Learn Data Structures and Algorithms for Interviewssource 2Data structures and algorithms study cheatsheets for coding interviewsMaster These 15 Algorithms to Crush Your Coding Interviews
6 sources
Master Every Algorithm: Complete Interview Prep Guide

Comprehensive deep-dive into mastering algorithms and data structures for coding interviews. From arrays to advanced Java techniques, learn systematic problem-solving patterns that will transform you from struggling beginner to confident interview candidate.

25 m

Deepen your knowledge with more complex data structures and algorithms, focusing on problem-solving patterns and optimization techniques.

Algorithms to Live By cover
Algorithms to Live By

Applying computer science principles to everyday life decisions

12 m
podcast cover
LeetCode Patterns: A Guide to Solving Common Problems14 Patterns to Ace Any Coding Interview QuestionBlind 75 LeetCode Questions - Tech Interview HandbookGrokking the Coding Interview: Patterns for Coding Questions
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LeetCode's Hidden Patterns: Simple Problem-Solving Secrets

Discover the elegant patterns behind thousands of coding challenges. Learn how mastering just 5 core techniques transforms intimidating LeetCode problems into manageable conversations you're prepared to have.

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Clean Code cover
Clean Code

A practical guide to writing readable, maintainable code that will make you a better programmer and team player.

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Master sophisticated algorithms and learn how data structures are applied in real-world systems and large-scale applications.

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Comprehensive guide to building scalable data systems

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System Design Interview – An Insider's Guide cover
System Design Interview – An Insider's Guide

Practical guide for acing system design interviews

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System Design Interview – An Insider's GuideBuilding MicroservicesProduction-Ready MicroservicesClean Architecture
12 sources
Cracking the System Design Interview

Learn how to confidently tackle intimidating system design questions using proven frameworks and structured approaches that focus on communication, problem breakdown, and strategic trade-offs.

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Algorithms form the foundation of computer science and are essential for anyone pursuing software engineering, data science, or technical roles. This learning path takes you from basic algorithmic concepts through advanced optimization techniques, building both theoretical knowledge and practical problem-solving skills. Whether you're preparing for technical interviews, aiming to write more efficient code, or wanting to tackle complex computational challenges, mastering algorithms is crucial for career advancement in technology.

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Este plan de aprendizaje es fundamental para desarrolladores que buscan escribir código de calidad profesional y avanzar en sus carreras técnicas. Es especialmente valioso para estudiantes de informática, programadores autodidactas y desarrolladores junior que quieren fortalecer sus fundamentos en estructuras de datos y diseño de software. El dominio de TDA es una habilidad esencial solicitada en entrevistas técnicas y proyectos de software a escala empresarial.

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Computer Science

Computer Science

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Computer Science

Computer science forms the foundation of modern technology and innovation, powering everything from mobile apps to artificial intelligence systems. This learning path is ideal for aspiring software engineers, career changers looking to enter the tech industry, or students preparing for computer science degrees. Whether you're starting from scratch or looking to formalize your self-taught skills, this structured approach will equip you with both theoretical knowledge and practical expertise demanded by today's technology landscape.

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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

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"Feels effortless compared to reading. I’ve finished 6 books this month already."

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"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
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17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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