Data structures and algorithms using C++ Training

Live Online & Classroom Enterprise Training

This course provides a strong foundation in data structures and algorithms using C++, focusing on efficient problem-solving, logical thinking, and performance optimization essential for software development and technical interviews.

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What is Data structures and algorithms using C++ Training about?

The Data Structures and Algorithms using C++ course introduces learners to core data structures and algorithmic techniques implemented in C++. It covers both theoretical concepts and practical coding approaches, enabling learners to write optimized, scalable, and efficient programs. The course emphasizes hands-on problem-solving and prepares learners for real-world development and competitive programming scenarios.

What are the objectives of Data structures and algorithms using C++ Training ?

Understand core data structures and their applications
Analyze algorithm complexity using Big-O notation
Implement data structures using C++
Solve problems using algorithmic techniques
Improve coding efficiency and optimization skills

Who is Data structures and algorithms using C++ Training for?

Computer science and IT students
Entry-level software developers
Aspiring programmers preparing for interviews
Professionals transitioning to C++ development
Competitive programming enthusiasts

What are the prerequisites for Data structures and algorithms using C++ Training?

Prerequisites:

Basic programming knowledge
Familiarity with C++ syntax
Understanding of variables and loops
Basic problem-solving skills
Willingness to practice coding regularly

Learning Path:

C++ programming fundamentals
Time and space complexity concepts
Linear data structures implementation
Non-linear data structures and algorithms
Advanced problem-solving and optimization

Related Courses:

C++ Programming Fundamentals
Object-Oriented Programming using C++
Algorithms and Complexity Analysis
Competitive Programming Basics

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: Complexity Analysis & Recursion

Introduction to Data Structures

Execution Time Cases

Complexity Analysis Examples

Recursion

Module 2: Arrays

Introduction to Arrays

Insertion Operation

Deletion Operation

Search Operation

Traverse Operation

Time Complexity & Space Complexity

Module 3: Linked List

Introduction to Linked Lists

Insertion Operation

Deletion Operation

Search Operation

Traverse Operation

Time Complexity & Space Complexity

Module 4: Stack

Introduction to Stack

Insertion Operation

Deletion Operation

Front & Back Operation

Time Complexity & Space Complexity

Module 5: Queue

Introduction to Queue

Insertion Operation

Deletion Operation

Top Operation

Time Complexity & Space Complexity

Module 6: Deque

Introduction to Deque

Insertion Operation

Deletion Operation

Search Operation

Traverse Operation

Time Complexity & Space Complexity

Module 7: STL in C++ (Linear Data Structures)

Linear Data Structures in C++

Vector

List

Stack

Queue

Deque

Module 8: Binary Tree

Introduction to Binary Tree

Traverse Operation

BFS vs DFS for Binary Tree

Search Operation

Deletion Operation

Time Complexity & Space Complexity

Module 9: Binary Search Tree

Introduction to Binary Search Tree

Insertion Operation

Deletion Operation

Search Operation

Traverse Operation

Time Complexity & Space Complexity

Balanced Binary Tree Property

Module 10: Self Balancing Binary Search Tree

Introduction to AVL Tree

Insertion Operation

Deletion Operation

Search Operation

Traverse Operation

Time Complexity & Space Complexity

Module 11: Heap Tree

Introduction to Heap Tree

Insertion Operation

Deletion Operation

Top Operation

Time Complexity & Space Complexity

Module 12: Graphs

Introduction to Graphs

Directed vs Undirected Graph

Breadth First Traverse

Depth First Traverse

Cyclic vs Acyclic Graph

Connected vs Disconnected Graph

Module 13: Hash Tables

Introduction to Hash Tables

Collision Resolution

Separate Chaining

Open Addressing

Double Hashing

Rehashing

Module 14: STL in C++ (Non-Linear Data Structures)

Non-Linear Data Structures in C++

Multi-set

Multi-map

Priority Queue

Module 15: Analysis of Algorithms

Analysis Methods in Time & Space Complexity

Substitution Method

Recurrence Tree Method

Master Method

Module 16: Sorting Algorithms

Bubble Sort

Insertion Sort

Selection Sort

Shell Sort

Merge Sort

Quick Sort

Heap Sort

Counting Sort

Bitonic Sort

Radix Sort

Bucket Sort

Pigeonhole Sort

Tim Sort

Cartesian Sort

Module 17: Searching Algorithms

Linear Search

Binary Search

Ternary Search

Sublist Search

Exponential Search

Jump Search

Fibonacci Search

Interpolation Search

Module 18: Divide and Conquer Algorithms

Binary Search

Merge Sort & Quick Sort

Fast Power

Closest Pair of Points

Count Inversions

Multiply Two Polynomials

Strassen’s Matrix Multiplication

Karatsuba Algorithm for Fast Multiplication

Who is the instructor for this training?

The trainer for this Data structures and algorithms using C++ Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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