Data Structures & Algorithms using C and C++ Training

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Learn Data Structures & Algorithms using C and C++ from global subject matter experts at PR Tech Skills. Enhance your skills and master the fundamentals of designing and implementing efficient algorithms. Join now and stay ahead in the competitive tech industry.

The Data Structures & Algorithms using C and C++ course is designed to help students understand the basics of data structures and algorithms. Led by global subject matter experts, the course covers the key concepts and principles of designing and implementing efficient algorithms. Students will learn how to work with arrays, linked lists, stacks, queues, trees, and graphs in C and C++. They will also explore various algorithmic techniques, such as sorting, searching, and recursion. By the end of the course, students will have a strong foundation in data structures and algorithms and will be able to apply their knowledge to solve complex programming problems.

In PR Tech Skills, candidates get one-on-one and corporate training by global subject matter experts of Data Structures & Algorithms using C and C++ course. In Data Structures & Algorithms using C and C++ course, a team of professionals guide candidates to gain hands-on experience through real-world assignments and projects which will help candidates to advance their skills. With an industry-based curriculum, PR Tech Skills delivers project-driven corporate training. Once candidates enroll for themselves for PR Tech Skills’s Data Structures & Algorithms using C and C++ course then will be getting lifetime access to the online learning environment, digital course materials, round-the-clock after-training support, and video recordings, and once the complete the course successfully candidates will earn globally recognized certificate.

Data Structures & Algorithms using C and C++ Course Objective
  • To provide students with a solid understanding of the basic concepts and principles of data structures and algorithms.
  • To introduce students to the most popular data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, and to teach them how to work with these structures in C and C++.
  • To familiarize students with various algorithmic techniques, including sorting, searching, and recursion, and to help them understand when and how to apply these techniques to solve programming problems.
  • To teach students how to design and implement efficient algorithms for real-world applications.
  • To help students develop problem-solving skills and enhance their ability to analyze and optimize algorithms.
  • To prepare students for advanced courses in computer science and for careers in software development, data analysis, and other related fields.
Data Structures & Algorithms using C and C++ Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  • Computer science students who want to deepen their understanding of data structures and algorithms and prepare for advanced coursework in computer science. Software developers who want to improve their problem-solving skills and learn new techniques for designing efficient algorithms.
  • Programmers who want to work with popular data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, and apply them to real-world programming problems. Anyone who wants to learn how to analyze and optimize algorithms to improve their performance and efficiency.
  • Overall, the course is suitable for individuals who have a solid foundation in programming concepts and are looking to expand their knowledge and skills in data structures and algorithms using C and C++.
Data Structures & Algorithms using C and C++ Course Prerequisites
  • Basic knowledge of programming concepts such as variables, data types, loops, and conditional statements
  • Familiarity with C and C++ programming languages
  • Understanding of object-oriented programming (OOP) concepts Experience in problem-solving and analytical thinking
Data Structures & Algorithms using C and C++ Course Certification
  • PR Tech Skills provides a training certification after successful completion of Data Structure & Algorithms using C and C++ course.

Learn Data Structures & Algorithms using C and C++ from global subject matter experts at PR Tech Skills. Enhance your skills and master the fundamentals of designing and implementing efficient algorithms. Join now and stay ahead in the competitive tech industry.

The Data Structures & Algorithms using C and C++ course is designed to help students understand the basics of data structures and algorithms. Led by global subject matter experts, the course covers the key concepts and principles of designing and implementing efficient algorithms. Students will learn how to work with arrays, linked lists, stacks, queues, trees, and graphs in C and C++. They will also explore various algorithmic techniques, such as sorting, searching, and recursion. By the end of the course, students will have a strong foundation in data structures and algorithms and will be able to apply their knowledge to solve complex programming problems.

In PR Tech Skills, candidates get one-on-one and corporate training by global subject matter experts of Data Structures & Algorithms using C and C++ course. In Data Structures & Algorithms using C and C++ course, a team of professionals guide candidates to gain hands-on experience through real-world assignments and projects which will help candidates to advance their skills. With an industry-based curriculum, PR Tech Skills delivers project-driven corporate training. Once candidates enroll for themselves for PR Tech Skills’s Data Structures & Algorithms using C and C++ course then will be getting lifetime access to the online learning environment, digital course materials, round-the-clock after-training support, and video recordings, and once the complete the course successfully candidates will earn globally recognized certificate.

Data Structures & Algorithms using C and C++ Course Objective
  • To provide students with a solid understanding of the basic concepts and principles of data structures and algorithms.
  • To introduce students to the most popular data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, and to teach them how to work with these structures in C and C++.
  • To familiarize students with various algorithmic techniques, including sorting, searching, and recursion, and to help them understand when and how to apply these techniques to solve programming problems.
  • To teach students how to design and implement efficient algorithms for real-world applications.
  • To help students develop problem-solving skills and enhance their ability to analyze and optimize algorithms.
  • To prepare students for advanced courses in computer science and for careers in software development, data analysis, and other related fields.
Data Structures & Algorithms using C and C++ Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  • Computer science students who want to deepen their understanding of data structures and algorithms and prepare for advanced coursework in computer science. Software developers who want to improve their problem-solving skills and learn new techniques for designing efficient algorithms.
  • Programmers who want to work with popular data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, and apply them to real-world programming problems. Anyone who wants to learn how to analyze and optimize algorithms to improve their performance and efficiency.
  • Overall, the course is suitable for individuals who have a solid foundation in programming concepts and are looking to expand their knowledge and skills in data structures and algorithms using C and C++.
Data Structures & Algorithms using C and C++ Course Prerequisites
  • Basic knowledge of programming concepts such as variables, data types, loops, and conditional statements
  • Familiarity with C and C++ programming languages
  • Understanding of object-oriented programming (OOP) concepts Experience in problem-solving and analytical thinking
Data Structures & Algorithms using C and C++ Course Certification
  • PR Tech Skills provides a training certification after successful completion of Data Structure & Algorithms using C and C++ course.

Data Structures & Algorithms using C and C++ Training Course Content

1.Essential C and C++ Concepts

  • Arrays Basics
  • Structures
  • Pointers
  • Reference in C++
  • Pointer to Structure
  • Functions
  • Parameter Passing Methods
  • Structures and Functions
  • Converting a C program to a C++ class

2.Required Setup for Programming

  • Online C and C++ compiler
  • Setup CodeBlocks and Settings
  • Setup Dev-C++ and Settings
  • Debugging using Dev-C++ and CodeBlocks
  • Setup and Debugging using Visual Studio

3.Introduction

  • Stack vs Heap Memory
  • Physical vs Logical Data Structures
  • Abstract Datatypes
  • Time and Space Complexity

4.Recursion

  • Generalizing Recursion
  • Static and Global Variables in Recursion
  • Head, Tail, and Tree Recursion
  • Indirect Recursion
  • Nested Recursion
  • Fibonacci Series using Recursion

5.Array Representation

  • Array Declaration
  • Static vs Dynamic Arrays
  • Increasing Array Size
  • 2D Arrays
  • Row and Column Major Formula for 2D Arrays
  • Formulas for 3D & nD Arrays

6.Array ADT

  • Array ADT
  • Inserting in an Array
  • Deleting from Array
  • Linear Search
  • Binary Search
  • Get( ) Set( ) Avg( ) Max( ) functions on Array
  • Merging and Sorting Arrays

7.Strings

  • Finding Length of a String
  • Validating a String
  • Reversing a String

8.Matrices

  • C++ class for Diagonal Matrix
  • Lower Triangular Matrix Row and Column Major Mapping
  • Lower Triangular Matrix in C and C++
  • Triangular Matrices
  • Symmetric Matrix

9.Sparse Matrix and Polynomial Representation

  • Sparse Matrix Representation
  • Create Sparse Matrix
  • Sparse Matrix using C++
  • Polynomial Representation
  • Polynomial Evaluation
  • Polynomial Addition
  • Coding Polynomial

10.Linked List

  • Dynamic Data Structure Linked List
  • Display Linked List
  • Recursive Display of Linked List
  • Sum of All Elements in a Linked List
  • Searching in a Linked List
  • Deleting from Linked List
  • Reversing a Linked List
  • Concatenating 2 Linked Lists
  • Merging 2 Linked Lists
  • 11.Sparse Matrix and Polynomial Representation using Linked List
  • Sparse Matrix using Linked List
  • Polynomial Representation using Linked List

12.Stacks

  • Stack using Array
  • Implementation of Stack using Array
  • Stack using Linked List
  • Stack Operations using Linked List
  • Parenthesis Matching
  • Infix to Postfix Conversion
  • Associativity and Unary Operators

13.Queues

  • Queue ADT
  • Queue using Single Pointer
  • Queue using Two Pointers
  • Implementing Queue using Array
  • Drawback of Queue using Array
  • Circular Queue
  • Double Ended Queue DEQUEUE

14.Trees

  • Terminology
  • Number of Binary Trees using N Nodes
  • Height vs Nodes in Binary Tree
  • Internal Nodes vs External Nodes in Binary Tree
  • Strict Binary Tree
  • Height vs Node of Strict Binary Tree
  • Internal vs External Nodes of Strict Binary Trees
  • n-ary Trees
  • Analysis of n-Ary Trees
  • Full vs Complete Binary Tree

15.Binary Search Trees

  • Searching in a Binary Search Trees
  • Inserting in a Binary Search Tre
  • Creating a Binary Search Tree
  • Deleting from Binary Search Tree
  • Program for Generating BST from Preorder

16.AVL Trees

  • Inserting in AVL with Rotations
  • General form of AVL Rotations
  • Generating AVL Tree
  • Deletion from AVL Tree with Rotations
  • Height Analysis of AVL Trees

17.Search Trees

  • 2-3 Trees
  • 2-3-4 Trees
  • Red-Black Trees
  • Red-Black Trees vs 2-3-4 Trees
  • Creating Red-Black Tree similar to Creating 2-3-4 Tree

18.Heap

  • Inserting in a Heap
  • Creating a Heap
  • Deleting from Heap and Heap Sort
  • Heap as Priority Queue

19.Sorting Technique

  • Criteria used for Analysing Sorts
  • Bubble Sort
  • Insertion Sort
  • Selection Sort
  • Quick Sort
  • Merging
  • Recursive Merge Sort
  • Count Sort
  • Bin / Bucket Sort
  • Radix Sort
  • Shell Sort

20.Hashing Technique

  • Chaining
  • Linear Probing
  • Quadratic Probing
  • Double Hashing
  • Hash Function Ideas

21.Graphs

  • Directed and Undirected Graphs
  • Breadth First Search
  • Depth First Search
  • Spanning Trees
  • Prim's Minimum Cost Spanning Tree
  • Kruskal's Minimum Cost Spanning Tree
  • Disjoint Subsets

22.Asymptotic Notations

  • Big Oh
  • Omega
  • Theta
     

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Data Structures & Algorithms using C and C++ Training FAQ's

The duration of the course may vary depending on the institution providing the course. However, most courses range from 6 to 12 weeks, and may be offered in online or in-person formats.


Yes, it is recommended that students have a basic understanding of programming concepts and familiarity with C and C++ programming languages before enrolling in the course.


Completing the course can enhance your programming skills and prepare you for a wide range of careers, including software development, data analysis, and research. You may also be eligible for more advanced computer science courses.


It depends on the institution providing the course. Some institutions offer certificates upon completion of the course, while others may offer certificates upon passing an exam or completing a project.


The course covers a wide range of topics related to data structures and algorithms, including arrays and linked lists, stacks and queues, trees and graphs, sorting and searching algorithms, and algorithmic techniques such as recursion, divide and conquer, dynamic programming, and greedy algorithms.


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