•  7999/- INR 15000

Master in Data Structure at top institutes in Uttam Nagar & Yamuna Vihar

A complete guide to learning everything there is to know about data structures

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    4.9       1235 students enrolled this month

Offer by ATTITUDE ACADEMY    Last updated:- Feb 20, 2024

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Includes

How will you get your certificate?

Take the final exam online to complete the Easy to Advanced Data Structures after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

What you'll learn

Requirements

How will your training work?

Thought

Classes

Take all of your face to face classes with trainer & get Live Sessions with Trainer for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests & offline assessment

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Easy to Advanced Data Structures

What will be the training syllabus?

Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.

  • Importance of data structures
  • Common use cases for data structures
  • Big O notation and algorithm analysis
  • Key data structure terminology

 

  • Introduction to arrays and linked lists
  • Implementing arrays and linked lists
  • Operations and methods for arrays and linked lists
  • Performance analysis

  • Implementing stacks and queues
  • Use cases for stacks and queues
  • Array-based and linked list-based implementations
  • Solving problems using stacks and queues

  • Introduction to tree data structures
  • Binary trees and their properties
  • Tree traversal algorithms (in-order, pre-order, post-order)
  • Binary tree operations

  • Properties of BST
  • Searching, insertion, and deletion in BST
  • Balancing BST (e.g., AVL trees)
  • BST operations and their complexity

  • Introduction to heaps
  • Binary heaps and heap operations
  • Implementing priority queues
  • Heapsort and heap-based algorithms

  • Hash functions and collision resolution
  • Implementing hash tables
  • Analysis of hash table performance
  • Practical applications of hashing

  • Introduction to graph data structures
  • Representing graphs in various forms
  • Graph traversal algorithms (e.g., depth-first and breadth-first search)
  • Shortest path algorithms (e.g., Dijkstra's and Bellman-Ford)

  • Red-Black Trees
  • B-trees and B+-trees
  • Trie data structures
  • Graph-based data structures

  • Time and space complexity analysis
  • Common sorting algorithms (e.g., bubble sort, insertion sort, quicksort, merge sort)
  • Analysis of sorting algorithms and their efficiency
  • External sorting and multiway merge

  • Linear search and binary search
  • Hash-based searching
  • Search trees (e.g., B-trees for searching)
  • Advanced searching algorithms (e.g., A* search)

  • Introduction to dynamic programming
  • Memoization and tabulation
  • Solving problems using dynamic programming
  • Applications in real-world scenarios

  • Advanced data structures and their applications
  • Advanced algorithm design techniques
  • Solving complex problems
  • Introduction to computational complexity theory

  • Greedy algorithms and their applications
  • Divide and conquer algorithms
  • Randomized algorithms
  • Approximation algorithms

  • Students work on a data structure and algorithm project
  • Building a portfolio of data structure and algorithm projects
  • Project presentation and peer review

  • Review of key takeaways and skills acquired
  • Opportunities for further learning and career prospects in data structures and algorithms
  • Preparing for certifications and advanced topics

Description

Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.

  • Importance of data structures
  • Common use cases for data structures
  • Big O notation and algorithm analysis
  • Key data structure terminology

 

  • Introduction to arrays and linked lists
  • Implementing arrays and linked lists
  • Operations and methods for arrays and linked lists
  • Performance analysis

  • Implementing stacks and queues
  • Use cases for stacks and queues
  • Array-based and linked list-based implementations
  • Solving problems using stacks and queues

  • Introduction to tree data structures
  • Binary trees and their properties
  • Tree traversal algorithms (in-order, pre-order, post-order)
  • Binary tree operations

  • Properties of BST
  • Searching, insertion, and deletion in BST
  • Balancing BST (e.g., AVL trees)
  • BST operations and their complexity

  • Introduction to heaps
  • Binary heaps and heap operations
  • Implementing priority queues
  • Heapsort and heap-based algorithms

  • Hash functions and collision resolution
  • Implementing hash tables
  • Analysis of hash table performance
  • Practical applications of hashing

  • Introduction to graph data structures
  • Representing graphs in various forms
  • Graph traversal algorithms (e.g., depth-first and breadth-first search)
  • Shortest path algorithms (e.g., Dijkstra's and Bellman-Ford)

  • Red-Black Trees
  • B-trees and B+-trees
  • Trie data structures
  • Graph-based data structures

  • Time and space complexity analysis
  • Common sorting algorithms (e.g., bubble sort, insertion sort, quicksort, merge sort)
  • Analysis of sorting algorithms and their efficiency
  • External sorting and multiway merge

  • Linear search and binary search
  • Hash-based searching
  • Search trees (e.g., B-trees for searching)
  • Advanced searching algorithms (e.g., A* search)

  • Introduction to dynamic programming
  • Memoization and tabulation
  • Solving problems using dynamic programming
  • Applications in real-world scenarios

  • Advanced data structures and their applications
  • Advanced algorithm design techniques
  • Solving complex problems
  • Introduction to computational complexity theory

  • Greedy algorithms and their applications
  • Divide and conquer algorithms
  • Randomized algorithms
  • Approximation algorithms

  • Students work on a data structure and algorithm project
  • Building a portfolio of data structure and algorithm projects
  • Project presentation and peer review

  • Review of key takeaways and skills acquired
  • Opportunities for further learning and career prospects in data structures and algorithms
  • Preparing for certifications and advanced topics

How will you get your certificate?

Take the final exam online to complete the Easy to Advanced Data Structures after which you will be able to download your certificate from Attitude Trainings

attitude-certificate

Latest Jobs

How will your training work?

Thought

Classes

Take all of your face to face classes with trainer & get Live Sessions with Trainer for Doubts Clearing

Planning

Exams

Test your knowledge through quizzes & module tests & offline assessment

Implement

Projects

Get hands on practice by doing assignments and project

Result

Certificate

Take the final exam to get certified in Easy to Advanced Data Structures

What placement assistance will you receive?

Free Placement Preparation Training

Access to curated Internships & Current Job Openings.

Top performers will be highlighted on Attitude Job portal

How will your doubts get solved?

You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.

Placed Learners


Explore an exceptional opportunity at ATTITUDE Academy, where we offer a meticulously tailored course designed to immerse participants in the foundational principles and standards of our esteemed Data Structure Training System. Conveniently situated in Uttam Nagar and Yamuna Vihar, Delhi, as an accredited Data Structure training center, we specialize in integrating Data Structure, providing comprehensive training using industry-standard tools. 

Upon completion of our esteemed Data Structure course, individuals will possess indispensable skills crucial for excelling in Real-Time Industries. Our Data Structure classes in Yamuna Vihar and Uttam Nagar, Delhi, ensure 100% job support and continuous access to course materials. Enroll in our Data Structure program today to master essential IT skills. 

Committed to empowering learners with vital expertise for a thriving career, ATTITUDE Academy stands as a premier Data Structure training institute in Uttam Nagar and Yamuna Vihar. We excel in delivering a comprehensive curriculum covering various facets of Data Structure education, preparing individuals for roles such as Data Entry and Accountant. Through interactive classes and innovative approaches, we cultivate an environment conducive to student development. 

Our experienced instructors, with a proven track record of successfully training over 10,000 scholars, provide personalized guidance in live design training. Practical exposure is facilitated through internship opportunities, while collaborative learning environments thrive in discussion zones. Offering options for both regular and weekend classes, students benefit from scheduling flexibility, and our thorough interview preparation ensures they are well-prepared for a prosperous future in the realm of Data Structure technology.

Why Choose Us

BEST FACULTY

100+ BATCHES

100% PRACTICAL

24*7 ONLINE ACCESS

8,676 + PLACED

10+ YEARS

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