Course Details

Data science, one of the basic subjects of computer science helps to develop your thinking process in coding terms. The data structure is used for data storing, processing, and retrieving. Getting insight into different data structures gives you an edge in your site or app-building process.

 

Learning data structure increases the chances of getting a good job as demand for it is on the rise. It becomes easy to stay ahead of your competitors as learning this core subject of computer science gives you thorough knowledge. Gathering knowledge about data structure and the fundamentals of algorithms can make your job-finding journey easier.

 

However, to get data structure from proficient and expert trainers, apply for our Summer training in Data Structure now. We provide the best data science courses covering all its crucial aspects so you can get a good grip on it. Our course modules cover an introduction to data science and algorithms, linked lists, queues and stacks, binary trees, recursion, heap, sorting, etc. We have the best experts on our board who help the students to get the deepest insight into the data structure. So, if you want to Data Structure in Kolkata from a trusted institute, contact Euphoria GenX without any more thinking.

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    Data Structure

    Data Structure

    • Module 1: Introduction to Data Structures and Algorithms

      • Data Structures and Algorithms
      • Measuring Running time of Algorithms
      • Asymptotic Analysis
      • Big O Notation
      • Finding Big O
      • Tight and Loose Upper Bounds
      • Big O analysis of Algorithms
      • Finding Time Complexity
      • Big O analysis of Algorithms: Examples
      • Worst case, Best case and Average Case Analysis
      • Common Complexities
      • Abstract Data Types

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    • Module 2: Linked List

      • Introduction to Linked List in C
      • Traversing and Searching a Single Linked List
      • Finding Pointers in a Single Linked List
      • Insertion in a Single Linked List
      • Deletion in a Single Linked List
      • Reversing a Single Linked List
      • Doubly linked list
      • Insertion in a doubly linked List
      • Deletion from doubly linked list
      • Reversing a doubly linked list
      • Circular linked list
      • Insertion in a circular Linked List
      • Deletion in a circular linked list
      • Concatenation
      • Linked List with Header Node
      • Sorted linked list
      • Merging of sorted Linked lists
      • Sorting a Linked list using Bubble Sort
      • Sorting a Linked list using Merge Sort
      • Finding and Removing a cycle in a Linked list

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    • Module 3: Stack and Queue

      • Stack
      • Array Implementation of Stack
      • Linked List Implementation of Stack
      • Queue
      • Array Implementation of Queue
      • Linked List implementation of Queue
      • Queue through Circular Linked List
      • Circular Queue
      • Deque
      • Priority Queue
      • Checking validity of an expression containing nested parentheses
      • Function calls
      • Evaluating Arithmetic Expressions
      • Polish Notations
      • Converting infix expression to postfix expression
      • Evaluation of postfix expression

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    • Module 4: Recursion

      • Introduction
      • Flow of control in Recursive functions
      • Winding and unwinding phase
      • Euclids Algorithm
      • Tail recursion
      • Recursion vs. Iteration

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    • Module 5: Binary Tree

      • Introduction to Trees
      • Binary Tree
      • Strictly Binary Tree and Extended Binary Tree
      • Full binary tree and Complete Binary Tree
      • Array Representation of Binary trees
      • Linked Representation of Binary Trees
      • Traversal in Binary Tree
      • Preorder Traversal
      • Inorder Traversal
      • Level order traversal
      • Finding height of a Binary tree

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    • Module 6: Binary Search Tree

      • Traversal in Binary Search Tree
      • Searching in a Binary Search Tree
      • Nodes with Minimum and Maximum key
      • Insertion in a Binary Search Tree
      • Deletion in a Binary Search Tree

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    • Module 7: Heap

      • Heap Representation
      • Insertion in Heap
      • Deletion
      • Building a heap
      • Heap Applications

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    • Module 8: Sorting

      • Introduction to Sorting Algorithms
      • Sort Stability
      • Selection Sort
      • Bubble Sort
      • Insertion Sort
      • Shell Sort
      • Merging two Sorted Arrays
      • Recursive Merge Sort
      • Iterative Merge Sort
      • Quick Sort
      • Binary tree sort
      • Heap Sort
      • Radix Sort

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    • Module 9: Searching

      • Linear Search
      • Variations of Linear Search
      • Binary Search

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    • Module 10: Hashing

      • Direct Addressing
      • Hashing
      • Collisions
      • Hash Functions
      • Open Addressing : Linear Probing
      • Open Addressing : Quadratic Probing
      • Open Addressing : Double Hashing
      • Deletion in Open Addressed Tables
      • Separate Chaining

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    • Module 11: Tree

      • Tree concept & types
      • Tree traversal (Inorder, Preorder and Postorder)
      • Binary Search Tree (BST) implementation

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    • Module 12: Graph

      • Introduction, DFS and BFS
      • Graph Cycle
      • Topological Sorting
      • Minimum Spanning Tree
      • Back Tracking
      • Shortest Paths

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    • Module 13: Assignments
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    Price ₹4,999.00 ₹3,599.00
    Instructor Euphoria GenX
    Duration 45 weeks
    Enrolled 1035 students
    Deadline 4 - 6 Weeks

    Frequently Asked Questions

    1

    Which language is best for DSA?

    High-level programming languages are considered best for the data structure. Python, C, C++, and Java are some best languages suitable for DSA.

    2

    Is Python easy for data structures?

    Python is fully-featured and easy to read. These reasons make it easy for data structuring.

    3

    Should I learn DSA in Python or C++?

    If you are a beginner, then learning DSA in Python will be preferable due to its easily readable nature.

    4

    What is the salary of data structures jobs in India?

    The salary of data engineers in India is ₹ 3.5 Lakhs to ₹ 21.0 Lakhs. Their average salary is ₹ 8.0 Lakhs.

    5

    Is data structure in demand?

    Both data structure and algorithms are highly demandable. So, getting a good grasp on it will help you to get a decent job for sure!

    6

    Is data structure a hard course?

    It varies. While some can grab it easily, others need time to get a proper understanding of it.

    7

    What are the Major Data Structure Types?

    Linear and Non-Linear are the varieties of data structure. Four types of linear data include arrays, stacks, linked lists, and queues. Non-linear data structure types are trees and graphs.

    8

    Why is Data Structure Creation Essential?

    Data structures make sure each line of the code can work optimally and efficiently. It allows programmers to fix any issue within a code with ease.

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