Data Structure Course Training

Course Overview

• Course Duration:2 – 2.5 Months (Including Lab Work and Live real-world assignment).
• Eligibility: learners Developers CS Graduates Beginners aiming to build strong programming foundations.
• Beginners aiming to build strong programming foundations.
• Modes of Training: Online Classes/Offline Training (at selected centers).

Data Structure Course Training

• Understand the fundamentals and importance of data structures in programming.
• Learn arrays, linked lists, stacks, and queues in detail.
• Implement trees, graphs, heaps, and hash tables efficiently.
• Master searching, sorting, and recursion techniques.
• Solve real-world coding challenges and optimize algorithms.
• Prepare for the Data Structure credential preparation assessment and technical interviews.

Overview of Data Structure Course Training

The Data Structure Course Training credential preparation is designed for programmers and computer science learners who want to strengthen their algorithmic and logical thinking. It provides a solid understanding of how data is stored, accessed, and manipulated in memory, providing you with the specialized technical expertise needed to advance your career.

Through hands-on coding and hands-on exercises, learners will implement all major data structures and algorithms from scratch. By the end of the course, you'll be ready to earn your Data Structure credential preparation and confidently solve coding interview problems or competitive programming challenges.

1.Introduction to Data Structures

• What are Data Structures?
• Classification (Linear vs. Non-linear).
• Memory Layout & Efficiency.

2.Arrays and Strings

• String Manipulation & Functions.
• Time & Space Complexity Basics.
• Singly & Doubly Linked Lists.
• Circular Linked List.
• Applications in Real World.
• Stack Using Array & Linked List.
• Queue, Circular Queue, Deque.
• Expression Evaluation, Infix to Postfix.
• Binary Trees, Binary Search Trees.
• Tree Traversals (Inorder, Preorder, Postorder).
• Representation Techniques (Adjacency Matrix/List).
• BFS & DFS Algorithms.

8.Searching & Sorting

• Linear & Binary Search.
• Bubble, Selection, Insertion Sort.

9.Applications of Data Structures

• Competitive Programming.
• Problem Solving Using DSA.

10.Final Capstone Project

• Implementing End-to-End real-world assignment using Advanced Data Structures.
• Real-time Problem Solving.
• Certificate & GitHub real-world assignment Upload.
• Learn Data Structures from Industry Experts.
• Focus on Hands-on Labs and Code Practice.
• Best Practices, Interview Tips & Real-World Scenarios.
• Quizzes, Assignments & Group Exercises.
• Build a real-world assignment using Multiple Data Structures.