Data Structures for Coding Interviews in Java

Data Structures for Coding Interviews in Java

This course provides a complete discussion of code implementation and prepares the developers for interview questions on data structures in Java.

Beginner

230 Lessons

35h

Certificate of Completion

This course provides a complete discussion of code implementation and prepares the developers for interview questions on data structures in Java.

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This course includes

153 Playgrounds
65 Challenges
22 Quizzes

This course includes

153 Playgrounds
65 Challenges
22 Quizzes

Course Overview

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!

TAKEAWAY SKILLS

Programming Language

Java

Prepare For Interview

Data Structures

Time Complexity

Course Content

1.

Complexity Measures

This chapter covers time and space complexity, Big O notation, and analyzing nested loops with various challenges to understand algorithm efficiency.
2.

Arrays

In this chapter, you will explore array operations, including merging, rotating, and finding values with practical challenges and solutions in Java.
3.

Linked Lists

This chapter discusses linked lists, including singly and doubly linked lists, with challenges related to insertion, deletion, and finding elements.
4.

Stack/Queues

This chapter covers stacks and queues, their implementations, and practical challenges like binary number generation and parenthesis validation.
5.

Graphs

In this chapter, you will learn about graph representation, traversal algorithms like BFS and DFS, and challenges such as cycle detection and shortest path.
6.

Trees

38 Lessons

This chapter introduces various trees, including binary, AVL, and red-black trees, with challenges on insertion, deletion, and traversal techniques.
7.

Trie (Advanced Trees)

14 Lessons

This chapter explores Tries for string operations, including insertion, search, and deletion, with challenges on word formation and sorting.
8.

Heaps

14 Lessons

In this chapter, you will understand heaps, focusing on max and min heaps, and solve challenges related to converting heaps and finding elements.
9.

Hash Tables

33 Lessons

This chapter covers hash tables, including hash functions, collision handling, and practical challenges like subset checks and word formation.
10.

Summary of Data Structures

2 Lessons

This chapter provides an overview of linear and non-linear data structures, summarizing their differences and concluding with course recommendations.

Course Author

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