Data Structure Training in Pune|Data Structure Classes in Pune|Data Structure Course in Pune

Data Structure
  • Well Equipped Computer Laboratories.
  • 100% Practical Oriented Sessions.
  • Low Data Structure Certification Courses fees.
  • Our trainers have minimum 8 years Data Structure application development experience in MNC.
  • Data Structure Course completion certificate.
  • 100% Job Placement Assistance.
  • So for your bright career fill the form and book your seat for free Data structure demo lecture in Pune.
Click Here Now To Get Your Free Demo

Related Technologies :

About Data Structure


What is Data Structure?

Data Structure is specific way Storing and Organize data in the computer. Basically it is called as implementation of value and information. Data Structure means manage large amount of data efficiently. The data is stored in different formats like Lists, Tree, Table, Stack, Queue and Graphs.

What are the Scope of Data Structure?

The scope of data structure is huge. Large amount database management companies, banks etc. are lot of requirement of data structure developer. Also you can learn other programming languages.

How the course will benefit me??

  • Training on live project.

  • Learn with Experience faculty.

  • 100% job placement assistance.

Who is the target audience?

  • Any Graduated Candidate (BCA,MCA,BE,ME,B-Tech M-Tech)

  • Who knowledge on C Programming.

Objectives of Data Structure -

  • Managing data in different way

  • To learn, writing algorithm on problem statement.

  • Improve in Productivity.

  • Solve the complex database queries

Click Here Now To Get Your Free Demo

Syllabus


  1. Introduction to Data structures
    1. General Problem Solving Concepts
    2. a) Problem Solving Aspects

      b) Problem Solving Concepts for computer constants and variables

      c) data types

      d) functions

      e) operators

      f) expressions and equations

      g) Programming Concepts

    3. Classification of data structures : primitive and non primitive
    4. Operations on data structures
  2. Dynamic memory allocation and pointers
    1. Pointer Variable
    2. Declaring and initializing pointers
    3. Accessing the address of a variable
    4. Accessing a value of variable with pointer
    5. Memory allocation: Static and Dynamic (malloc, calloc, free and realloc)
  3. Recursion
    1. Recursion in C
    2. Recursive program implementation
    3. a) Factorial

      b) Binomial coefficient

      c) Fibonacci series

  4. Stack
    1. Array representation of stack
    2. Operations on stack
    3. a) Infix

      b) prefix

      c) postfix notations Conversion of an arithmetic expression from Infix to postfix

    4. Implementation of stacks
  5. Queue
    1. Array representation of queue
    2. Types of queue
    3. a) Simple queue

      b) circular queue

      c) double ended queue (deque)

      d) priority queue

    4. Operations on Queues
  6. Linked list
    1. Structure of linked list
    2. Advantages and Disadvantages of linked list
    3. Types of linked list
    4. a) Singly linked list

      b) Doubly linked list

      c) Circular linked list

      d) circular doubly linked list

    5. Implementation of linked list (creation, insertion, deletion, search and display)
  7. Tree
    1. Tree
    2. Binary tree
    3. Complete binary tree
    4. Binary search tree
    5. Heap
    6. Tree terminology
    7. a) Root

      b) Node

      c) Degree of a node and tree

      d) Terminal nodes

      e) Non-terminal nodes

      f) Siblings

      g) Level

      h) Edge

      i) Path

      j) depth

      k) Parent node

      l) ancestors of a node

    8. Binary tree : Array representation of tree
    9. Implementing binary tree
    10. Traversal of Binary Tree
    11. a) Preorder

      b) Inorder

      c) postorder

  8. Searching Techniques
    1. Need of Searching
    2. Search algorithms
    3. a) Linear search

      b) Binary search

      c) Hashing Techniques

      d) types of Hash functions

      e) Collision resolution techniques

      f) open and closed hashing

    4. Comparison between sequential and binary search ( Best , Average and worst case)
  9. Sorting Techniques
    1. Need of sorting
    2. Types of sorting
    3. a) Bubble sort

      b) insertion sort

      c) selection sort

      d) heap sort

      e) Merge sort

      f) quick sort Comparison in between( Best , Average and worst case)

Click Here Now To Get Your Free Demo

CodeKul.com Professional Trainer

Aniruddha Sir

10 Year

Java Android Kotlin
Show Details

Job Assistance Program


Once you successfully finish your assignments and projects, our counselors provide you with one-on-one career guidance with great emphasis on mock interviews and building an online professional portfolio to help you get noticed by top recruiters.

Resume Building

Our industry experts tell you what exactly to put in your resumes and how to highlight them on top job portals.

Online Reputation Building

We establish your presence on all the right social networks like Git, Stack Overflow, LinkedIn, etc.

Mock Interviews

Our industry experts give you insider tips on how to face the real tech interviews of top firms.

Placement Assistance

Interviews with top MNCs and start-ups and periodic placement drives will be arranged.

CodeKul.com Stats

30+

Offers Made to our Big Data Students

25000+

Hours Spent Coding

100+

Recommendations Given by Hiring Partners

500+

Projects Completed by Students

FAQs

Enquire About Data Structure Course

Call us now or send us your information