What is DS?

Data Structure is very important subject and has many defined concept which is used in Software Development. Strong Data Structure knowledge is the key to crack technical interviews.

Introduction

Entry Profile Exit Profile
Programming knowledge is required and willing to learn concept. Student will have very strong concepts to crack any technical interview.
Learn web technologies to get complete success.

Will this course useful for my Career?

Absolutely yes. This course will make you very strong in programming skills and on top of this you can explore many different career options by choosing advanced technologies.

When I can join this course?

  • You can start learning DS anytime after learning C Programming.
  • When preparing for technical interviews
  • Start learning software development

What options I can choose after this course:

  • Start learning iOS(iPhone) Development.
  • Learn Java Technology & Frameworks
  • Learn Microsoft.NET
  • Learn Android

What content will be covered in this course?

Introduction to Data Structures:

  • Definition of Data structure, Classification of Data structures: Linear, non-linear, homogeneous, non-homogeneous, static & dynamic.

Stack:

  • Definition, Array implementation of stack (static stack): Operations PUSH, POP, And TRAVERSE. Applications of stack: Infix, Prefix, Postfix representation and evaluation using stack, Use of stack in, Recursive implementation, Applications of Stack

Queue:

  • Definition, Array implementation of queue (static queue): Operations INSERT, DELETE and TRAVERSE. Introduction to Circular queue: Definition & implementation, Priority queue, Double ended queue Applications of queue

Linked List:

  • Definition, advantages, Types of linked list: single, doubly, circular linked list

Operations:

  • Creation, insertion, deletion & traversal of linked list

Complexity of Algorithms:

  • Time & space complexity, Best-case, worst-case, average-case.

Searching Algorithm:

  • Linear or sequential search, Binary search, Interpolation search using array Complexity of Linear search, Binary search, Interpolation Search

Sorting Algorithm:

  • Bubble sort, Selection sort, Insertion sort, Merge sort, Quick sort, Heap sort, shell sort and Complexity of sorting algorithm & hashing

Tree:

  • Definition, Binary tree: Definition, representation Operations: Traversal, insertion, deletion Binary search Tree (BST): Definition and creation, Search using BST Introduction to B-Tree & B+ tree, AVL Tree

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