Data Structure

DSIt is used in programming applications when information is shared among multiple consumers. In python’s lists and dictionaries, or in JavaScripts array and objects all use structures for storing and retrieving data. Data structures are used to organize code and information in a digital space. Data Structure helps with the memory allocation identification, data interrelationships and data processes.

Why should you join Data Structure classes at PlacementsAdda

Applications of " Data Structure"

Data Structure course helps programmers to do data management in a proper way also the right selection of Data Structure can enhance the programming efficiency. Because data structure is used in all areas of computer science such as Artificial Intelligence, graphics, operating systems, etc.

Data Structures are widely used in almost every aspect of Computer Science for simple as well as complex computations. Hence it is very important to understand and make the proper use of data structure. Placement Adda provides data structure training in Indore, with proper guidance and collaborating all the applications of data structures

Curriculum

class Classes video_label Practice Lab file_copy Study Material functions Programming Problems folder_open Projects
  • keyboard_arrow_rightTime complexity
  • keyboard_arrow_rightSpace complexity
  • keyboard_arrow_rightBig O
  • keyboard_arrow_rightOmega
  • keyboard_arrow_rightTheta notations
  • keyboard_arrow_rightMalloc()
  • keyboard_arrow_rightcalloc()
  • keyboard_arrow_rightrealloc()
  • keyboard_arrow_rightfree()
  • keyboard_arrow_rightStack Operations
  • keyboard_arrow_rightpush()
  • keyboard_arrow_rightpop()
  • keyboard_arrow_rightpeex()
  • keyboard_arrow_rightdistzay()
  • keyboard_arrow_rightisEmpty()
  • keyboard_arrow_rightisFull()
  • keyboard_arrow_rightStack implementation using arrays
  • keyboard_arrow_rightApplications
  • keyboard_arrow_rightDecimal to Binary
  • keyboard_arrow_rightString reverse
  • keyboard_arrow_rightNumber reverse
  • keyboard_arrow_rightRecursion – Towers of Hanoi
  • keyboard_arrow_rightBalanced Parentheses
  • keyboard_arrow_rightExpressions
  • keyboard_arrow_rightIntroduction to Notations
  • keyboard_arrow_rightImportance of Notations in expression evaluation
  • keyboard_arrow_rightConversion Algorithms
  • keyboard_arrow_rightInfix to prefix
  • keyboard_arrow_rightInfix to postfix
  • keyboard_arrow_rightPrefix to infix
  • keyboard_arrow_rightPrefix to postfix
  • keyboard_arrow_rightPostfix to infix
  • keyboard_arrow_rightPostfix to prefix
  • keyboard_arrow_rightImplementation of all the conversions
  • keyboard_arrow_rightOperations on Queue – enqueue(), dequeue()
  • keyboard_arrow_rightQueue implementation using static arrays
  • keyboard_arrow_rightApplications
  • keyboard_arrow_rightQueues Implementations using pointer (dynamic)
  • keyboard_arrow_rightIntroduction
  • keyboard_arrow_rightConstruction
  • keyboard_arrow_rightLength
  • keyboard_arrow_rightInsertion
  • keyboard_arrow_rightDeletion
  • keyboard_arrow_rightSort
  • keyboard_arrow_rightReverse list
  • keyboard_arrow_rightSwap node data
  • keyboard_arrow_rightSwap nodes
  • keyboard_arrow_rightApplications
  • keyboard_arrow_rightTerminology
  • keyboard_arrow_rightDifferences between Tree and Binary Tree
  • keyboard_arrow_rightBinary Tree Representations
  • keyboard_arrow_rightExpression Trees
  • keyboard_arrow_rightTraversals
  • keyboard_arrow_rightIn-order
  • keyboard_arrow_rightpre-order
  • keyboard_arrow_rightpost-order
  • keyboard_arrow_rightIntroduction to BST
  • keyboard_arrow_rightInsertion
  • keyboard_arrow_rightDeletion
  • keyboard_arrow_rightSearch
  • keyboard_arrow_rightImplementation
  • keyboard_arrow_rightIntroduction & Terminology
  • keyboard_arrow_rightGraph Representations
  • keyboard_arrow_rightTraversal
  • keyboard_arrow_rightBFS (Breadth First Search)
  • keyboard_arrow_rightDFS (Depth First Search)
  • keyboard_arrow_rightLinear search
  • keyboard_arrow_rightBinary search
  • keyboard_arrow_rightBubble sort
  • keyboard_arrow_rightSelection sort
  • keyboard_arrow_rightInsertion sort
  • keyboard_arrow_rightHeap sort
  • keyboard_arrow_rightMerge sort
  • keyboard_arrow_rightQuick sort
  • keyboard_arrow_rightIntroduction
  • keyboard_arrow_rightBST v/s AVL
  • keyboard_arrow_rightRotations
  • keyboard_arrow_rightL-L-Rotation
  • keyboard_arrow_rightR-R-Rotation
  • keyboard_arrow_rightL-R-Rotation
  • keyboard_arrow_rightR-L-Rotation
  • keyboard_arrow_rightInsertion
  • keyboard_arrow_rightDeletion
  • keyboard_arrow_rightTraversal
  • keyboard_arrow_rightIntroduction
  • keyboard_arrow_rightBST v/s AVL v/s RBT
  • keyboard_arrow_rightRotations
  • keyboard_arrow_rightL-L-Rotation
  • keyboard_arrow_rightR-R-Rotation
  • keyboard_arrow_rightL-R-Rotation
  • keyboard_arrow_rightR-L-Rotation
  • keyboard_arrow_rightInsertion
  • keyboard_arrow_rightDeletion
  • keyboard_arrow_rightM-way Search Tree
  • keyboard_arrow_rightSearch
  • keyboard_arrow_rightInsertion
  • keyboard_arrow_rightDeletion
  • keyboard_arrow_rightHash Table representation
  • keyboard_arrow_rightHash function-Division Method
  • keyboard_arrow_rightCollision
  • keyboard_arrow_rightCollision Resolution Techniques
  • keyboard_arrow_rightSeparate Chaining
  • keyboard_arrow_rightopen addressing
  • keyboard_arrow_rightlinear probing
  • keyboard_arrow_rightquadratic probing
  • keyboard_arrow_rightdouble hashing
  • keyboard_arrow_rightRehashing
  • keyboard_arrow_rightM-way Search Tree
  • keyboard_arrow_rightDefinition
  • keyboard_arrow_rightMax Heap
  • keyboard_arrow_rightMin Heap
  • keyboard_arrow_rightInsertion and deletion
  • keyboard_arrow_rightBrute force
  • keyboard_arrow_rightBoyer –Moore algorithm
  • keyboard_arrow_rightKnuth-Morris-Pratt algorithm
  • keyboard_arrow_rightStandard Tries
  • keyboard_arrow_rightCompressed Tries
  • keyboard_arrow_rightSuffix tries

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