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Data Structures Mastery
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Data Structures Mastery

Boost your coding and problem-solving skills with our hands-on data structure and algorithm course. Whether you're preparing for placements or competitive programming, this course helps you learn data structures and algorithms from scratch to advanced levels with real-time practice.

Level : Intermediate

Duration :120 hrs

Rating : 4.9/5

Language : Java

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5999

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About Modules Benefits For You Certificates FAQ

Data Structures Mastery Course Overview

Understand the fundamentals of data structure and algorithm design

Master arrays, linked lists, stacks, queues, trees, graphs, and hash maps

Learn algorithms such as sorting, searching, recursion, dynamic programming, and greedy techniques

Practice time and space complexity analysis to write optimized code

Work on real-world problems, coding challenges, and mock interviews

Data Structures Mastery Course Includes

Certification After completing the courses

Enjoy Lifetime access to course materials

Assessments to track your progress

Leaderboard updates based on Your progress

Data Structures Mastery Course Contents

  1. 1.1.What are Data Structures?

  2. 1.2.Types: Linear vs Non-linear

  3. 1.3.Abstract Data Types (ADT)

  4. 1.4.Role in Programming and Problem Solving

  1. 2.1.Static and Dynamic Arrays

  2. 2.2.Array Operations (Insert, Delete, Traverse)

  3. 2.3.Time and Space Complexity

  4. 2.4.Multi-dimensional Arrays

  1. 3.1.Singly Linked List

  2. 3.2.Operations: Insert, Delete, Search

  3. 3.3.Traversal and Display

  4. 3.4.Applications of Linked Lists

  1. 4.1.Doubly Linked List

  2. 4.2.Circular Linked List

  3. 4.3.Complexity Analysis

  4. 4.4.Use Cases in Real Systems

  1. 5.1.Stack Operations: Push, Pop, Peek

  2. 5.2.Array and Linked List Implementations

  3. 5.3.Infix, Prefix, Postfix Expressions

  4. 5.4.Balanced Parentheses

  1. 6.1.Queue Operations: Enqueue, Dequeue

  2. 6.2.Circular Queue

  3. 6.3.Priority Queue and Deque

  4. 6.4.Real-World Examples

  1. 7.1.Understanding Recursion

  2. 7.2.Recursive vs Iterative Approach

  3. 7.3.Backtracking Examples

  4. 7.4.Tail Recursion

  1. 8.1.Linear Search, Binary Search

  2. 8.2.Binary Search Variants

  3. 8.3.Time Complexity Analysis

  4. 8.4.Practical Use Cases

  1. 9.1.Bubble Sort, Selection Sort, Insertion Sort

  2. 9.2.Comparison and Complexity

  3. 9.3.Stable vs Unstable Sorts

  1. 10.1.Merge Sort and Quick Sort

  2. 10.2.Divide and Conquer Strategy

  3. 10.3.Recursive Implementation

  1. 11.1.Heap Sort

  2. 11.2.Counting Sort, Radix Sort, Bucket Sort

  3. 11.3.Comparison and Use Cases

  1. 12.1.Hash Functions and Collisions

  2. 12.2.Linear and Quadratic Probing

  3. 12.3.Chaining

  4. 12.4.Hash Table Implementation

  1. 13.1.Binary Trees and Traversals

  2. 13.2.Recursive and Iterative Traversals

  3. 13.3.Tree Implementation

  1. 14.1.Insert, Delete, Search in BST

  2. 14.2.Inorder, Preorder, Postorder Traversals

  3. 14.3.Balanced vs Unbalanced BST

  1. 15.1.Binary Heap and Heapify

  2. 15.2.Insert and Delete in Heap

  3. 15.3.Heap as Priority Queue

  4. 15.4.Applications in Algorithms

  1. 16.1.Graph Terminology and Representations (Adjacency Matrix/List)

  2. 16.2.Directed vs Undirected Graphs

  3. 16.3.Graph Traversals: BFS and DFS

  1. 17.1.Minimum Spanning Tree (Kruskal's, Prim's)

  2. 17.2.Shortest Path Algorithms (Dijkstra, Floyd-Warshall)

  3. 17.3.Topological Sorting

  1. 18.1.Trie Structure and Word Storage

  2. 18.2.Insert, Search, and Delete in Tries

  3. 18.3.Suffix Trees and Applications

  1. 19.1.Real-World Use Cases

  2. 19.2.DSA in Competitive Programming

  3. 19.3.End-to-End Implementation of Projects

Benefits

Our Dashboard offers 1500+ coding problems to sharpen skills and prepare for company-specific interviews. Track progress, build your profile, and boost job-readiness for successful technical interviews

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Our product provides real-time debugging assistance, allowing learners to efficiently identify and fix errors, enhancing their programming skills and understanding

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Our integrated IDE compiler offers a unified platform for writing, executing, and debugging code efficiently. With real-time execution and instant feedback, users can test and optimize their code seamlessly.

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we organize coding contests within the platform, offering users the opportunity to compete against peers, test their problem-solving abilities, and enhance their skills through time-bound challenges and real-world scenarios

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We maintain a personalized profile for each user, tracking their learning progress, performance in coding problems, and achievements,It also includes a record of completed contests, certifications earned, and coding skills developed etc

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This is one For You

Hands on training

Looking to enhance your Coding skills

Innovation Ideas

lets you create innovative solutions, explore technologies

Newbie Programmer

Budding Programmer , Wants to learn some tricks and tips

Upskilling your skills

A professional wanting to Update their skills

Gain a Competitive Edge With Our Professional Certificates

Master the latest programming languages and enhance your skill set with a recognized certificate.

unlock new career opportunities with a programming certificate

FAQ

This data structure and algorithm course covers all key DSA concepts including linear and non-linear data structures, sorting, searching, recursion, dynamic programming, and more.
Yes. The course starts from the basics and builds up to advanced topics, making it a perfect data structure course for beginners and intermediate learners.
A DSA course focuses on teaching fundamental data structures and algorithms to help learners write efficient and optimized code—essential for technical interviews and system design.
Absolutely! This course is available online with live sessions, recorded content, practice problems, and mentoring to help you learn data structures and algorithms at your pace.
Yes. Upon completion, you’ll receive a certification to showcase your proficiency in data structure and algorithm concepts.