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Data Structures & Algorithms using C

Course Overview

The Data Structures & Algorithms using C course is designed to provide participants with a solid foundation in fundamental data structures and algorithms, implemented using the C programming language. This course focuses on the principles of organizing and manipulating data efficiently, as well as developing algorithms for problem-solving. Understanding data structures and algorithms is crucial for designing efficient and optimized software solutions.

Description

This course begins with an introduction to basic concepts of data structures, covering arrays, linked lists, stacks, queues, trees, and graphs. Participants will learn algorithmic techniques such as searching, sorting, and recursive algorithms. The course emphasizes the implementation of these data structures and algorithms in C, enabling participants to gain practical programming skills. Real-world examples and problem-solving exercises will be used to reinforce theoretical concepts.

Course Objectives

The primary objectives of the Data Structures & Algorithms using C course are as follows:

  1. Fundamental Data Structures: Provide a thorough understanding of fundamental data structures, including arrays, linked lists, stacks, and queues.
  2. Trees and Graphs: Cover tree structures, including binary trees and balanced trees, as well as graph structures for representing relationships between data elements.
  3. Algorithmic Techniques: Introduce algorithmic techniques for searching, sorting, and traversal of data structures.
  4. Complexity Analysis: Teach participants how to analyze the time and space complexity of algorithms for evaluating their efficiency.
  5. Dynamic Programming: Explore dynamic programming as an algorithmic paradigm for solving optimization problems.
  6. Recursion: Cover recursive algorithms and their applications in problem-solving.
  7. Hashing: Introduce hashing techniques and their application in data retrieval.
  8. Graph Algorithms: Explore graph algorithms, including depth-first search (DFS) and breadth-first search (BFS).
  9. Problem-Solving Skills: Enhance problem-solving skills by applying data structures and algorithms to real-world scenarios.
  10. C Programming Integration: Emphasize the implementation of data structures and algorithms using the C programming language.

Prerequisites
Who can learn this course

This course is suitable for a diverse range of individuals, including:

  1. Programmers and Developers: Professionals aiming to strengthen their foundation in data structures and algorithms using C.
  2. Computer Science Students: Students pursuing degrees in computer science or related fields with an interest in algorithms and data structures.
  3. Software Engineers: Individuals looking to deepen their understanding of efficient data organization and algorithmic problem-solving.
  4. Competitive Programmers: Enthusiasts participating in programming competitions aiming to enhance their algorithmic skills.
  5. System Architects: Professionals involved in designing and optimizing systems where efficient algorithms are crucial.
  6. Interview Preparation: Individuals preparing for technical interviews that often include questions related to data structures and algorithms.

The Data Structures & Algorithms using C course is designed to cater to both beginners and individuals with some programming experience, providing a solid foundation in essential concepts for efficient software development and problem-solving.

Average package of course (Data Structures & Algorithms using C)

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50L Avg
Package
Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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