Data Structure

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Course Overview

Algorithms and Data Structures Courses are the building blocks of any computing system. Companies that develop Operating System, DBMS, Application Server, Networking Systems, Search Engine, e-Commerce applications, Social Networking Systems…etc are Technology Companies. These companies ever hunt for people who are good at Data structures and Algorithms, Since these companies develop computing systems from scratch, and research on new computational models for ever increasing requirements from real world applications. Microsoft, Yahoo, Google, Face book, Amazon, Adobe, LinkedIn, Oracle, Flipkart, Amazon, Snapdeal are the Technology companies to name a few. With growing trend in big data, data analytics, machine learning, data mining, cloud and cluster computing, Algorithms and Data structures has become the skill on more demand and, more and more companies entering into technology space. Importantly, these are the companies that provide best career opportunities and career growth, also pay very well


  • Resume & Interviews Preparation Support
  • Hands on Experience on One Live Project.
  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Multiple Flexible Batches

At the end of Data Structure Training Course, Participants will be able to:

  • Completely understand Apache Hadoop Framework.
  • Learn to work with HDFS.
  • Discover how MapReduce works with data and processes it.
  • Design and develop big data applications using Hadoop Ecosystem.
  • Learn how YARN helps in managing resources into clusters.
  • Write as well as execute programs in YARN.
  • Implement MapReduce Integration, HBase, Advanced Indexing and Advanced Usage.
  • Become expert in working on data, and managing data resources
  • Become functional programmer implementing various applications to ensure effective data processing and optimization techniques are in place
  • Expert knowledge to apply interactive algorithms and work on data forms.
  • Resume & Interviews Preparation Support

Course Duration

  • Weekdays: 2 Months(40-50 hours)
  • Weekends: 3 Months (50-60 hours)
  • Weekdays: Tuesday-Friday Classes
  • Weekends: Saturday and Sunday Classes

Prerequisites :

  • Should have basic knowledge of C/C++ or Java Programming.

Who Should Attend?

  • B.Tech/MCA Students loking for data structures coaching
  • Job seekers who are preparing for interview in Product MNC/ecommerce companies
  • Anyone who has deep desire to learn Data Structures And Algorithms.


1.1 Introduction

  • What is Data Structure?
  • What is Algorithm?
  • Types of Data Structure
  • Introduction to an array and linked list

1.2 Array

  • What is array?
  • Why Array?
  • Operations in an array

1.3 Linked list

  • Why linked list
  • How to create linked list
  • Operation on Linked list
  • Doubly linked list
  • Operation on doubly linked list
  • Programming approach to linked list

1.4 Stack as Data Structure

  • Implementation of stack in array and linked list
  • Operation on Stack
  • Polish notation

1.5 Queue as Data Structure

  • Implementation of Queue in array and linked list
  • Operation on Queue
  • Double Ended Queue (DeQue)
  • Priority Queue
1.6 Tree

  • Introduction
  • Binary tree
  • Binary tree representation in memory
  • Tree traversal
  • Binary search tree
  • Balanced binary tree
  • Tree rotation
  • M-WAY search tree
  • B-tree

1.7 Graphs

  • Introduction
  • Representation of graphs
  • Graph traversal
  • Shortest path algorithm
  • Warshall’s algorithm for finding path matrix
  • Warshal’s algorithm for finding the shortest path matrix
  • Dijkestra’s technique
  • Floyed’s technique

1.8 Searching and sorting

  • Various searching technique
  • Various sorting technique
  • Hashing


  • Linear: A data structure is said to be linear if its elements form a sequence or a linear list. Examples: Array. Linked List, Stacks and Queues
  • Non-Linear: A data structure is said to be non-linear if traversal of nodes is nonlinear in nature. Example: Graph and Tree

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt.This project will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

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