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Course Overview

Master the foundational concepts of data structures using the C programming language. This course is designed to equip learners with the skills to write efficient code, optimize performance, and implement advanced data structures for problem-solving in software development.

Why to

Join This Course

Master core data structures and algorithms essential for software development.

Boost your coding performance by understanding memory management and optimization techniques.

Work on real-world projects to solidify concepts and build your portfolio.

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  • Learn to implement and optimize data structures using C.
  • Develop skills to write efficient C programs for real-world applications.
  • Implement dynamic memory management techniques in C.
  • Master sorting and searching algorithms for optimizing program performance.
  • Build projects and solve complex problems to strengthen your Skills.

Course Curriculum

Basics of data structures and their importance in programming.

Overview of the C programming language and its relevance to data structures.

Introduction to memory management in C.

Declaration, initialization, and manipulation of arrays.

Multi-dimensional arrays and their applications.

String manipulation functions and applications.

Introduction to singly, doubly, and circular linked lists.

Operations on linked lists: insertion, deletion, and traversal.

Applications of linked lists in real-world scenarios.

Implementation of stacks and queues using arrays and linked lists.

Applications of stacks: expression evaluation and recursion.

Types of queues: circular queue, priority queue, and deque.

Binary trees: traversal techniques (inorder, preorder, postorder).

Binary search trees: insertion, deletion, and searching.

Advanced tree structures: AVL trees and heaps.

Introduction to graph terminology and representation (adjacency list, adjacency matrix).

Graph traversal techniques: BFS and DFS.

Applications of graphs in networking and optimization problems.

Linear and binary search algorithms.

Sorting techniques: bubble sort, selection sort, insertion sort, merge sort, and quick sort.

Performance analysis of searching and sorting algorithms.

Hashing and hash tables.

Dynamic memory allocation in C (malloc, calloc, free).

File handling in C for data storage and retrieval.

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Get General Answers

FAQ Questions

A data structure is a way to organize and store data in a computer so it can be accessed and modified efficiently.
Yes, a basic understanding of C programming is recommended to follow the course effectively.
C provides low-level access to memory and fine control over program performance, making it ideal for data structure implementation.
You'll work on projects like library management systems, scheduling algorithms, and more.
Yes, the course includes advanced topics such as graphs, AVL trees, and hashing.
Yes, it starts with the basics and progresses to advanced concepts, making it beginner-friendly.
Understanding data structures helps in writing efficient programs and is crucial for technical interviews and problem-solving.
Yes, you will get coding assignments and projects to reinforce your learning.
Absolutely! The course covers essential algorithms and techniques used in competitive programming.
Yes, you'll receive a certification to showcase your skills and boost your resume.
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