Learning plan cover

Data structures and algorithms

LEARNING PLAN

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 coursesUpdated 3 hours ago
Algorithms + Data Structures  eq  ProgramsMaster Every Algorithm: Complete Interview Prep GuideAlgorithms to Live By8 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed's proprietary AI to help you learn Data structures and algorithms with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.

Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering Data structures and algorithms.

What You'll Learn

  • 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
6 sources
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.

10 m
Clean Code cover
Clean Code

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

9 m

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

Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

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

Practical guide for acing system design interviews

9 m
podcast cover
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.

49 m

Discover more

Algorithms

Algorithms

LEARNING PLAN

Algorithms

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.

2 h 6 m4 Sections
Get fit & prep for SWE tests

Get fit & prep for SWE tests

LEARNING PLAN

Get fit & prep for SWE tests

This comprehensive plan prepares software engineers for technical interviews at top tech companies by covering both coding fundamentals and system design. It's ideal for developers seeking roles at FAANG companies, engineers transitioning to senior positions, or anyone looking to systematically strengthen their interview performance through structured practice and strategic communication skills.

2 h 2 m4 Sections
Coding

Coding

LEARNING PLAN

Coding

Coding has become an essential skill in today's digital economy, opening doors to countless career opportunities and enabling you to bring your ideas to life. This learning plan provides a comprehensive pathway from programming basics to advanced software architecture, suitable for beginners seeking to become professional developers or professionals looking to enhance their technical capabilities.

2 h 29 m4 Sections
Software engineering

Software engineering

LEARNING PLAN

Software engineering

This learning plan is essential for developers ready to evolve beyond writing code into true software engineering, where building maintainable, scalable systems and leading technical initiatives becomes paramount. It's ideal for mid-level developers seeking senior roles, career changers from coding bootcamps wanting deeper expertise, or experienced engineers looking to formalize their knowledge and leadership capabilities.

2 h 15 m4 Sections
Learn SQL

Learn SQL

LEARNING PLAN

Learn SQL

SQL remains the standard language for managing and analyzing data across industries, making it an essential skill for anyone working with information systems. This learning plan provides a structured path from basic concepts to advanced techniques, benefiting data analysts, developers, business intelligence professionals, and anyone who needs to work with databases.

1 h 34 m3 Sections
Learn technical skills in data science, programming, build soft skills too

Learn technical skills in data science, programming, build soft skills too

LEARNING PLAN

Learn technical skills in data science, programming, build soft skills too

This comprehensive learning path bridges the technical-soft skills gap that many data professionals struggle with. Ideal for aspiring data scientists, analysts, and programmers who want to not only master the technical foundations but also develop the communication and leadership abilities that distinguish truly successful data professionals.

2 h 51 m4 Sections
Aprender trivial con TDA

Aprender trivial con TDA

LEARNING PLAN

Aprender trivial con TDA

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.

2 h 15 m4 Sections
Computer Science

Computer Science

LEARNING PLAN

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.

3 h4 Sections

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