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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

  • Introduction to Data Structures
  • Execution Time Cases
  • Complexity Analysis Examples
  • Recursion
  • Introduction to Arrays
  • Insertion Operation
  • Deletion Operation
  • Search Operation
  • Traverse Operation
  • Time Complexity & Space Complexity
  • Introduction to Linked Lists
  • Insertion Operation
  • Deletion Operation
  • Search Operation
  • Traverse Operation
  • Time Complexity & Space Complexity
  • Introduction to Stack
  • Insertion Operation
  • Deletion Operation
  • Front & Back Operation
  • Time Complexity & Space Complexity
  • Introduction to Queue
  • Insertion Operation
  • Deletion Operation
  • Top Operation
  • Time Complexity & Space Complexity
  • Introduction to Deque
  • Insertion Operation
  • Deletion Operation
  • Search Operation
  • Traverse Operation
  • Time Complexity & Space Complexity
  • Linear Data Structures in C++
  • Vector
  • List
  • Stack
  • Queue
  • Deque
  • Introduction to Binary Tree
  • Traverse Operation
  • BFS vs DFS for Binary Tree
  • Search Operation
  • Deletion Operation
  • Time Complexity & Space Complexity
  • Introduction to Binary Search Tree
  • Insertion Operation
  • Deletion Operation
  • Search Operation
  • Traverse Operation
  • Time Complexity & Space Complexity
  • Balanced Binary Tree Property
  • Introduction to AVL Tree
  • Insertion Operation
  • Deletion Operation
  • Search Operation
  • Traverse Operation
  • Time Complexity & Space Complexity
  • Introduction to Heap Tree
  • Insertion Operation
  • Deletion Operation
  • Top Operation
  • Time Complexity & Space Complexity
  • Introduction to Graphs
  • Directed vs Undirected Graph
  • Breadth First Traverse
  • Depth First Traverse
  • Cyclic vs Acyclic Graph
  • Connected vs Disconnected Graph
  • Introduction to Hash Tables
  • Collision Resolution
  • Separate Chaining
  • Open Addressing
  • Double Hashing
  • Rehashing
  • Non-Linear Data Structures in C++
  • Set
  • Multi-set
  • Map
  • Multi-map
  • Priority Queue
  • Analysis Methods in Time & Space Complexity
  • Substitution Method
  • Recurrence Tree Method
  • Master Method
  • 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
  • Linear Search
  • Binary Search
  • Ternary Search
  • Sublist Search
  • Exponential Search
  • Jump Search
  • Fibonacci Search
  • Interpolation Search
  • 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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