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Data Structures for Coding Interviews in Java

The ultimate guide to data structures for coding interviews, developed by FAANG engineers. Practice with interview questions from top companies. Get interview-ready in just a few hours.

4.6

230 Lessons

35h

Updated 1 month ago

Also available in

C++

Java

JavaScript

Python

Also available in

Java

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LEARNING OBJECTIVES

Analyze Java code to compare algorithms using time and space complexity
Apply Big O and related asymptotic notations to evaluate worst-case performance
Compute time complexity by counting primitive operations in single and nested loops
Implement array and ArrayList solutions to common interview problems and analyze complexity
Implement singly and doubly linked list operations and solve linked list interview challenges
Build and use stacks and queues in Java to solve classic problems (postfix, min stack, BFS)
Implement graphs, trees, tries, heaps, and hash tables in Java and solve core interview tasks

Learning Roadmap

230 Lessons22 Quizzes65 Challenges

Complexity Measures

Sharpen your skills in measuring and evaluating time and space complexities of algorithms.

Comparing Algorithms

Example: Measuring Time Complexity of a Single Loop Algorithm

Example: Time Complexity of an Algorithm With Nested Loops

Introduction to Asymptotic Analysis and Big O

Other Common Asymptotic Notations and Why Big O Trumps Them

Useful Formulae

Common Complexity Scenarios

Challenge: Big (O) of Nested Loop with Addition

Solution: Big O of a Nested Loop with Addition

Challenge: Big (O) of Nested Loop with Subtraction

Solution: Big O of a Nested Loop with Subtraction

Challenge: Big O of Nested Loop with Multiplication

Solution: Big O of Nested Loop with Multiplication

Challenge: Nested Loop with Multiplication (Basic)

Solution: Nested Loop with Multiplication (Basic)

Challenge: Nested Loop with Multiplication (Intermediate)

Solution: Nested Loop with Multiplication (Intermediate)

Challenge: Nested Loop with Multiplication (Advanced)

Solution: Nested Loop with Multiplication (Advanced)

Challenge: Nested Loop with Multiplication (Pro)

Solution: Nested Loop with Multiplication (Pro)

Complexity Interview Questions

Arrays

Get started with arrays, lists essentials, and solving various array manipulation challenges.

What is an Array?

Two Dimensional Arrays

What Is a List?

Challenge: Remove Even Integers From Array

Solution: Remove Even Integers From Array

Challenge: Merge Two Sorted Arrays

Solution: Merge Two Sorted Arrays

Challenge: Find Two Numbers That Add Up to K

Solution: Find Two Numbers That Add Up to K

Challenge: Product of Array Except Self

Solution: Product of Array Except Self

Challenge: Find Minimum Value in Array

Solution: Find Minimum Value in Array

Challenge: First Non-Repeating Integer in an Array

Solution: First Non-Repeating Integer in an Array

Challenge: Find Second Maximum Value in an Array

Solution: Find Second Maximum Value in an Array

Challenge: Rotate Array

Solution: Rotate Array

Challenge: Rearrange Positive & Negative Values

Solution: Rearrange Positive & Negative Values

Challenge: Rearrange Sorted Array in Max/Min Form

Solution: Rearrange Sorted Array in Max/Min Form

Challenge: Maximum Subarray

Solution: Maximum Subarray

Array Interview Questions

Linked Lists

31 Lessons

Examine linked list operations, including insertion, deletion, traversal, and efficiency comparisons.

Stack/Queues

25 Lessons

Grasp the fundamentals of stacks and queues, their implementations, and common challenges.

Graphs

25 Lessons

Dig into the concepts, representation, and operations of various graph types and traversal algorithms.

Trees

38 Lessons

Investigate tree types, structures, operations, and problems for efficient coding with trees.

Trie (Advanced Trees)

14 Lessons

Master the steps to construct and utilize Tries for efficient string storage and retrieval.

Heaps

14 Lessons

Step through the concepts and applications of heaps, their operations, and transformations.

Hash Tables

33 Lessons

Grasp the essentials and practical implementations of hash tables, tackling collisions, and solving challenges using hashing in Java.

10.

Summary of Data Structures

2 Lessons

Go hands-on with linear and non-linear data structures for coding efficiencies.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Show License and Attributions

Developed by MAANG Engineers

ABOUT THIS COURSE

Data structures are amongst the fundamentals of Computer Science and an important decision in every program. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in Java to allow readers to become well equipped. Now with more code solutions, lessons, and illustrations than ever, this is the course for you!

ABOUT THE AUTHOR

Coderust

Coderust helps software developers like you ace your coding interviews. Our interactive interview-prep courses encourage you to get hands-on with the material and practice working through problems.

Learn more about Coderust

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