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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Mock Interview

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.

Comparing AlgorithmsExample: Measuring Time Complexity of a Single Loop AlgorithmExample: Time Complexity of an Algorithm With Nested LoopsIntroduction to Asymptotic Analysis and Big OOther Common Asymptotic Notations and Why Big O Trumps ThemUseful FormulaeCommon Complexity ScenariosChallenge: Big (O) of Nested Loop with AdditionSolution: Big O of a Nested Loop with AdditionChallenge: Big (O) of Nested Loop with SubtractionSolution: Big O of a Nested Loop with SubtractionChallenge: Big O of Nested Loop with MultiplicationSolution: Big O of Nested Loop with MultiplicationChallenge: 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

2.

Arrays

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

What is an Array?Two Dimensional ArraysWhat Is a List?Challenge: Remove Even Integers From ArraySolution: Remove Even Integers From ArrayChallenge: Merge Two Sorted ArraysSolution: Merge Two Sorted ArraysChallenge: Find Two Numbers That Add Up to KSolution: Find Two Numbers That Add Up to KChallenge: Product of Array Except SelfSolution: Product of Array Except SelfChallenge: Find Minimum Value in ArraySolution: Find Minimum Value in ArrayChallenge: First Non-Repeating Integer in an ArraySolution: First Non-Repeating Integer in an ArrayChallenge: Find Second Maximum Value in an ArraySolution: Find Second Maximum Value in an ArrayChallenge: Rotate ArraySolution: Rotate ArrayChallenge: Rearrange Positive & Negative ValuesSolution: Rearrange Positive & Negative ValuesChallenge: Rearrange Sorted Array in Max/Min FormSolution: Rearrange Sorted Array in Max/Min FormChallenge: Maximum SubarraySolution: Maximum SubarrayArray Interview Questions

3.

Linked Lists

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

What is the Singly Linked List (SLL)?Basic Linked List OperationsInsertion in a Singly Linked ListInsertion in Singly Linked List (Insert After)Singly Linked List Deletion (Implementation)Linked Lists vs. ArraysWhat is a Doubly Linked List (DLL)?Linked List with TailChallenge: Insertion at TailSolution: Insertion at TailChallenge: Search in a Singly Linked ListSolution: Search in a Singly Linked ListChallenge: Deletion by ValueSolution: Deletion by ValueChallenge: Find the Length of a Linked ListSolution: Find the Length of a Linked ListChallenge: Reverse Linked ListSolution: Reverse Linked ListChallenge: Linked List CycleSolution: Linked List CycleChallenge: Middle of the Linked ListSolution: Middle of the Linked ListChallenge: Remove Duplicates from a Linked ListSolution: Remove Duplicates from a Linked ListChallenge: Union and Intersection of Linked ListsSolution: Union and Intersection of Linked ListsChallenge: Return the Nth Node from EndSolution: Return the Nth Node from EndChallenge: Find If a Doubly Linked List Is a PalindromeSolution: Find If a Doubly Linked List Is a PalindromeLinked list Interview Questions

4.

Stack/Queues

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

What is a Stack?Stack (Implementation)What is a Queue?Queue (Implementation)Challenge: Generate Binary Numbers From 1 to n Using a QueueSolution: Generate Binary Numbers From 1 to n Using a QueueChallenge: Implement Two Stacks Using One ArraySolution: Implement Two Stacks Using One ArrayChallenge: Reverse First k Elements of QueueSolution: Reverse First k Elements of QueueChallenge: Implement Queue Using StacksSolution: Implement Queue Using StacksChallenge: Sort Values in a StackSolution: Sort Values in a StackChallenge: Evaluate Postfix Expression Using a StackSolution: Evaluate Postfix Expression Using a StackChallenge: Next Greater Element Using a StackSolution: Next Greater Element Using a StackChallenge: Find the CelebritySolution: Find the CelebrityChallenge: Valid ParenthesesSolution: Valid ParenthesesChallenge: Min StackSolution: Min StackStack/Queue Interview Questions

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.

What is a Graph?Representation of GraphsGraph ImplementationComplexities of Graph OperationsWhat is a Bipartite Graph?Graph Traversal AlgorithmsChallenge: Implement Breadth-First SearchSolution: Implement Breadth-First SearchChallenge: Implement Depth-First SearchSolution: Implement Depth-First SearchChallenge: Detect Cycle in a Directed GraphSolution: Detect Cycle in a Directed GraphChallenge: Find a Mother Vertex in a Directed GraphSolution: Find a Mother Vertex in a Directed GraphChallenge: Count the Number of Edges in an Undirected GraphSolution: Count the Number of Edges in an Undirected GraphChallenge: Check If a Path Exists between Two VerticesSolution: Check If a Path Exists between Two VerticesChallenge: Graph Valid TreeSolution: Graph Valid TreeChallenge: Find the Shortest Path between Two VerticesSolution: Find the Shortest Path between Two VerticesChallenge: Remove Edge from a Directed GraphSolution: Remove Edge from a Directed GraphGraph Interview Questions

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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