Data Structures and Algorithms

Master the foundations of computer science for technical interviews and efficient coding. If you are here for Data Structures and Algorithms, you are likely searching for practical guidance you can trust, delivered in a clear, human way that respects your time and helps you make forward progress today; this guide was created to meet that exact need by combining first‑hand experience with proven methods so you can move from uncertainty to confident action without feeling overwhelmed. Inside, you will find structured steps, realistic examples, and decision frameworks tailored to real‑world constraints, plus shortcuts and checklists that reduce friction while preserving quality, so whether you are getting started or leveling up, you have everything required to succeed in Learn Coding.

Dr. Algorithm

CS Professor

Published

2/8/2026

Master the foundations of computer science for technical interviews and efficient coding.

Big O Notation

Learn how to analyze the time and space complexity of your algorithms.

Arrays and Linked Lists

Master the basic building blocks of data structures and their trade-offs.

Stacks and Queues

Understand these linear data structures and their real-world applications.

Searching Algorithms

Learn about Linear Search, Binary Search, and their efficiencies.

Sorting Algorithms

Master Bubble Sort, Merge Sort, and Quick Sort and when to use each.

Trees and Binary Search Trees

Discover hierarchical data structures and how to navigate them.

Graphs and Graph Algorithms

Learn about BFS, DFS, and how to model complex relationships.

Hash Tables

Understand how hash tables provide fast data retrieval and how to handle collisions.

Recursion and Dynamic Programming

Learn advanced techniques for solving complex problems efficiently.

Ace the Coding Interview

Tips and strategies for solving algorithmic problems during technical interviews.