Data Structure

Data Structure can be termed as an effective and systematic way of Organizing, Storing and Managing data in a computer so that whenever required, the accessibility is quite easy and in a proper way. Data Structure helps the computer system to perform its task effectively.

For data structure training in Chandigarh – Infowiz provides state of the art training on Data Structure through our team of expert analysts who impart quality know how and technical skills among the trainees to create professionals out of them.

We have designed the tutorials in such a manner that is ideal for beginners as well as professionals. Look out for advanced data structure training in Chandigarh, we provide one-stop-destination and lend a helping hand in shaping up your career in the field of Data Structure as an expert.

If you have any confusions relating to growth, and career development, from where one can get the necessary skills required to be data analyst or data scientist, you can get all your answers to your 100% satisfaction from Infowiz which provides data structure industrial training in Chandigarh.

We help to sharpen your skills on basics and advanced concepts of Data Structure to ensure your career development as a Data Analyst or Data Scientist. Enroll today for the best six months/ weeks data structure industrial training in Punjab.

Course Content:

• Data Structures Basics
• Structure and Problem Solving
• Data structures
• Data structure Operations
• Algorithm: complexity
• Time- space tradeoff.
• Linked List
• Introduction Linked lists
• Representation of linked lists in Memory
• Traversing a linked list
• Searching a linked list
• Memory allocation and Garbage collection
• Insertion into linked list
• Deletion from a linked list
• Types of linked list
• Stack and Queue
• Introduction
• Array Representation of Stack
• Linked List Representation of stack
• Application of stack
• Queue
• Array Representation of Queue
• Linked List Representation of Queue
• Applications of Graphs
• Topological Sorting
• Shortest-Path Algorithms
• Weighted Shortest Paths
• Dijkstra’s Algorithm
• Minimum spanning tree- Prim’s Algorithm
• Introduction to NP-Completeness.
• Mathematical Functions and Notations Functions and Notations
• Modular Arithmetic / Mod Function
• Mathematical Expectation in Average Case Analysis
• Efficiency of an Algorithm
• Well Known Asymptotic Functions and Notations
• Analysis of Algorithms – Simple Examples
• Well Known Sorting Algorithms
• Insertion sort
• Bubble sort
• Selection sort
• Shell sort
• Heap sort
• Trees
• Definitions and Concepts
• Operations on Binary Trees
• Representation of binary tree
• Conversion of General Trees to Binary Trees
• Sequential and Other Representations of Trees
• Tree Traversal.
•  Searching and Sorting Techniques
• Sorting Techniques
• Bubble sort
• Merge sort
• Selection sort
• Heap sort
• Insertion Sort
• Searching Techniques
• Sequential Searching
• Binary Searching
• Search Trees.
• Graphs
• Matrix Representation of Graphs
• List Structures
• Other Representations of Graphs
• Breadth First Search, Depth First Search
• Spanning Trees.
• Directed Graphs Types of Directed Graphs
• Binary Relation As a Digraph; Euler’s Digraphs
• Matrix Representation of Digraphs
• Elementary Algorithms
• Notation for Expressing Algorithms
• Role and Notation for Comments
• Example of an Algorithm
• Problems and Instances
• Characteristics of an Algorithm
• Building Blocks of Algorithms
• Procedure and Recursion
• Recursion
• Outline of Algorithms
• Specification Methods for Algorithms.
• Dynamic Programming Strategy
• Multistage Graphs
• All Pair Shortest Paths
• Travelling Salesman Problems.
• Backtracking Strategy
• 8-Queens Problem
• Sum of Subsets
• Knapsack Problem.
• Divide and Conquer Strategy
• Binary Search
• Max. And Min.
• Merge sort
• Quick sort