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Data Structures for Coding Interviews

Name: Data Structures for Coding Interviews
Price: 59 USD
Author: Fahim ul Haq

The ultimate guide to coding interviews. Developed by FAANG engineers, this course offers a structured approach to interview prep with proven strategies and real-world questions from top companies.

4.7

162 lessons

1 AI mock interview

30h

Created by Fahim ul Haq

Also available in

C++

Java

JavaScript

Python

Also available in

Python

What's included

162 lessons across 12 modules
10 quizzes with instant feedback
1 AI mock interview with scoring rubrics
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

Analyze algorithm efficiency using Big-O notation and other metrics relevant to coding interviews.
Implement and manipulate arrays, linked lists, stacks, queues, and heaps in Python for interview scenarios.
Apply common patterns for solving problems with arrays, linked lists, stacks, queues, and heaps,
Design and traverse tree structures, including binary trees and tree traversals, using Python.
Utilize graph algorithms and techniques to solve complex interview problems involving graphs.
Implement and apply hashing techniques and trie structures for efficient data retrieval in interview contexts.

Learning Roadmap

162 Lessons10 Quizzes65 Challenges

Introduction

Enhance your interview skills by mastering data structures and their applications.

Course Overview

Algorithm Analysis for Interviews

Master algorithm analysis, focusing on time and space complexity for coding interviews.

Algorithm Analysis for Coding Interviews

Quiz: Algorithm Analysis

Arrays

25 Lessons

Master essential array techniques and problem-solving strategies for coding interviews.

Linked Lists

26 Lessons

Master linked list operations, challenges, and solutions for coding interviews.

Stacks

17 Lessons

Master stack data structures, patterns, and challenges for coding interviews.

Queues

9 Lessons

Master queue operations, patterns, and challenges to excel in coding interviews.

Heaps & Priority Queues

9 Lessons

Master heap data structures for efficient element access and problem-solving techniques.

Hashing

27 Lessons

Master efficient hashing techniques and solve various coding challenges effectively.

Trees

13 Lessons

Master tree concepts, traversals, and key algorithms for binary search trees.

10.

Graphs

21 Lessons

Master essential graph algorithms and techniques for coding interviews, including traversal, cycle detection, and pathfinding.

11.

Trie

10 Lessons

Explore efficient trie data structures for prefix-related problems and word retrieval.

12.

Interview Readiness and Strategy

2 Lessons

Master effective coding interview strategies and essential data structure techniques.

Data Structures

Mock Interview

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

Data structures remain a common signal of engineering ability in technical interviews. Even as AI tools handle more routine coding tasks, many companies still use data structure problems to evaluate how candidates reason about performance, scalability, memory usage, and trade-offs in constrained interview settings. Interviewers often look for whether candidates can choose an appropriate structure for the problem, explain the trade-offs, and justify the choice. In this course, I’ll help you build an interview-ready approach to analyzing constraints, choosing data structures, and explaining trade-offs. I built this course from years of experience researching intelligent computing systems, adaptive AI, and computer science education. Across both teaching and technical training, I repeatedly saw the same challenge: many developers understand individual data structures, but struggle to recognize the deeper patterns that technical interviews are actually testing. Interviews reward structured reasoning, optimization, and communication under ambiguity. This course was designed to bridge that gap. Data Structures for Coding Interviews in Python covers all the major data structures that consistently appear in interviews, including arrays, linked lists, stacks, queues, trees, heaps, graphs, and hash-based structures. Alongside the fundamentals, you’ll learn the common interview patterns behind real coding problems and work through challenge exercises designed to reflect the open-ended nature of modern technical interviews. Thousands of developers use Educative to prepare for technical interviews at leading companies. If you want a structured, interview-focused approach to mastering data structures, this course is the place to start.

ABOUT THE AUTHOR

Fahim ul Haq

Software Engineer, Distributed Storage at Meta and Microsoft, Educative (Co-founder & CEO)

Learn more about Fahim

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