Boost Your Career with Best Data Structure Course Institute in Delhi

 
Coding Bytes is the Data Structure Training, Course, Certification Institute in Delhi, Our Data Structure Course leads the chart among the best  Data Structure Training Courses of Delhi NCR.

 

 Data Structure Course Fees: Rs. 9999/-

Data Structure Course Duration: 2 months

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Data Structure

Course Highlights

  • Introduction to Data Structure
  • Algorithms
  • Performance Analysis
  • Asymptotic Notations
  • Pointers
  • Stacks
  • Stack implementation
  • Queue implementation
  • Binary Tree
  • Trees
  • Dynamic Programming
  • Greedy Method

Data Structure Course Details

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1) Introduction to Data Structure
2) Algorithms
3) Performance Analysis
  • Time complexity
  • Space complexity
4) Asymptotic Notations
  • Big O
  • Omega
  • Theta notations
5)) Arrays
6) Structure
7) Pointers
8) Dynamic Memory Allocation
  • Malloc()
  • calloc()
  • realloc()
  • free()
9) Stacks
  • Stack Operations
  • push()
  • pop()
  • peex()
  • distzay()
  • isEmpty()
  • isFull()
  • Stack implementation using arrays Applications
  • Decimal to Binary
  • String reverse
  • Number reverse
  • Recursion – Towers of Hanoi
  • Balanced Parentheses
  • Expressions
10) Expression
  • Introduction to Notations
  • Importance of Notations in expression evaluation
  • Conversion Algorithms
  • Infix to prefix
  • Infix to postfix
  • Prefix to infix
  • Prefix to postfix
  • Postfix to infix
  • Postfix to prefix
  • Implementation of all the conversions
11) Queues
  • Operations on Queue – enqueue(), dequeue()
  • Queue implementation using static arrays
  • Applications
  • Queues Implementations using pointer (dynamic)
12) Single Linked List
  • Introduction
  • Construction
  • Length
  • Insertion
  • Deletion
  • Sort
  • Reverse list
  • Swap node data
  • Swap nodes
  • Applications
13) Stack & Queue implementation using linked list
14) Binary & Binary Search Tree
  • Terminology
  • Differences between Tree and Binary Tree
  • Binary Tree Representations
  • Expression Trees
  • Traversals
  • In-order
  • pre-order
  • post-order
  • Introduction to BST
  • Insertion
  • Deletion
  • Search
  • Implementation
15) AVL, Red Black , B Tree, Hashing
  • Introduction
  • BST v/s AVL
  • Rotations
  • L-L-Rotation
  • R-R-Rotation
  • L-R-Rotation
  • R-L-Rotation
  • Insertion
  • Deletion
  • Traversal

Red Black Trees

  • Introduction
  • BST v/s AVL v/s RBT
  • Rotations
  • L-L-Rotation
  • R-R-Rotation
  • L-R-Rotation
  • R-L-Rotation
  • Insertion
  • Deletion

B trees

  • M-way Search Tree
  • Search
  • Insertion
  • Deletion

Hashing

  • Hash Table representation
  • Hash function-Division Method
  • Collision
  • Collision Resolution Techniques
  • Separate Chaining
  • open addressing
  • linear probing
  • quadratic probing
  • double hashing
  • Rehashing
16) Priority Queue-Definition,Heap,Pattern matching algorithms,Tries
  • Operations-Insertion, Deletion,

Heap

  • Definition
  • Max Heap
  • Min Heap
  • Insertion and deletion

Pattern matching algorithms

  • Brute force
  • Boyer –Moore algorithm
  • Knuth-Morris-Pratt algorithm

Tries

  • Standard Tries
  • Compressed Tries
  • Suffix tries
17) Dynamic Programming ,Greedy Method, Divide & conquer method

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