Learning plan cover

Build algorithms

LEARNING PLAN

Build algorithms

Algorithmic thinking is the foundation of efficient software development and problem-solving in computer science. This learning plan equips programmers, developers, and computer science students with the critical skills to design optimized solutions that scale, providing a competitive advantage in technical interviews and real-world engineering challenges.

ByCommunity User
2 h 44 m
9 coursesUpdated 1 day ago
Algorithms + Data Structures  eq  ProgramsMaster Every Algorithm: Complete Interview Prep GuideA Philosophy of Software Design, 2nd Edition9 sources

How This Learning Plan Was Made

This plan was crafted by BeFreed’s proprietary AI to help you learn Build 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 Build algorithms.

What You'll Learn

  • Master fundamental data structures and algorithmic thinking principles
  • Design and implement efficient algorithms for various problem types
  • Apply optimization techniques to solve complex computational challenges
  • Analyze algorithmic complexity and performance characteristics
  • Develop scalable systems using advanced algorithmic approaches
  • Build practical applications that leverage algorithmic design patterns

Build a strong foundation in algorithmic thinking and understand how data structures form the backbone of efficient programming solutions.

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

Exploring the interplay between algorithms and data structures in programming.

10 m
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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

Learn practical approaches to designing and implementing algorithms, focusing on common patterns and problem-solving techniques.

A Philosophy of Software Design, 2nd Edition cover
A Philosophy of Software Design, 2nd Edition

John Ousterhout's software design principles

9 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

Explore sophisticated algorithmic techniques and optimization strategies for solving complex computational problems efficiently.

Algorithms to Live By cover
Algorithms to Live By

Applying computer science principles to everyday life decisions

12 m
Designing Data-Intensive Applications cover
Designing Data-Intensive Applications

Comprehensive guide to building scalable data systems

9 m
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source 1source 2source 3source 4
6 sources
Algorithms for Life: Where Code Meets Human Design

Discover how computer science principles, mathematical frameworks, and design thinking can transform your daily decisions. From the 37% rule to visual cognition, explore practical strategies for navigating complexity and uncertainty in both digital and analog life.

31 m

Apply algorithmic thinking to real-world problems and learn how to design systems that scale effectively with optimal performance.

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
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

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