NITDP Data Structure Training institute]

Data Structure Training

“Training is the best Investment”

About Data Structure Training

Data Structures is a concept a means of storing a collection of data. Computer Science is a concern with study of methods for effectively using a computer to solve problems. These can be solve by algorithms and data structures. Data Structures tells you what way the data as to store in computer memory and how to access the data efficiently. Many Applications are designed by data structures stack applications like page visited history in a web-browser, chain of method calls in the Java virtual machine or C++ Run-time environment etc Queue Application Like Waiting Lines, Multi-programming etc For many applications the choice of proper data structure is the only major decision involving the implementation. Majorly the database designing and internal implementation is done only by using Data Structures techniques.

Data Structure Training Course Objective

This Course main objective for the student to understand Analysis and Designing of the Algorithms and how the different data structures are used for efficient accessing of the data and Manipulation of the data at the end of the session we can able to Know different Kinds of data structures and we can able to provide different algorithms for time and space complexity.

Data Structure Training Course Duration

• 60 Working days, daily two hours

Data Structure Training Course Content Overview

Introduction to Data Structure

Algorithms

Performance Analysis

• Time complexity
• Space complexity

Asymptotic Notations-

• Big O
• Omega
• Theta notations

Arrays

Structures

Pointers

Dynamic Memory allocation

• Malloc()
• calloc()
• realloc()
• free()

Stacks 

• Stack Operations

• push()
• pop()
• peex()
• distzay()
• isEmpty()
• isFull()
• Stack implementation using arrays
• Applications
  • Decimal to Binary
  • String reverse
  • Number reverse
  • Recursion – Towers of Hanoi
  • Balanced Parentheses
  • Expressions

Stack Implementation using pointer (dynamic)

Expression

• Introduction to Notations
• Importance of Notations in expression evaluation
• Conversion Algorithms

• Infix to prefix
• Infix to postfix
• Prefix to infix
• Prefix to postfix
• Postfix to infix
• Postfix to prefix
• Implementation of all the conversions

Queues

• Operations on Queue – enqueue(), dequeue()
• Queue implementation using static arrays
• Applications
• Queues Implementations using pointer (dynamic)

Circular queues

Double Ended queue (Deques)

Single linked list

• Introduction
• Construction
• Length
• Insertion
• Deletion
• Sort
• Reverse list
• Swap node data
• Swap nodes
• Applications

Stack implementation using linked list

Queue implementation using linked list

Doubly linked list

Circular linked list

Circular Doubly Linked List

Binary Tree

• Terminology
• Differences between Tree and Binary Tree
• Binary Tree Representations
• Expression Trees
• Traversals

• In-order
• pre-order
• post-order

Binary Search Tree

• Introduction to BST
• Insertion
• Deletion
• Search
• Implementation

Graph

• Introduction & Terminology
• Graph Representations
• Traversal

• BFS (Breadth First Search)
• DFS (Depth First Search)

Searching Algorithms

• Linear search
• Binary search

Sorting Algorithms

• Bubble sort
• Selection sort
• Insertion sort
• Heap sort
• Merge sort
• Quick sort

AVL Trees

• Introduction
• BST v/s AVL
• Rotations

• L-L-Rotation
• R-R-Rotation
• L-R-Rotation
• R-L-Rotation
• Insertion
• Deletion
• Traversal

Red Black Trees

• Introduction
• BST v/s AVL v/s RBT
• Rotations

• L-L-Rotation
• R-R-Rotation
• L-R-Rotation
• R-L-Rotation
• Insertion
• Deletion

B trees

• M-way Search Tree
• Search
• Insertion
• Deletion

Hashing

• Hash Table representation
• Hash function-Division Method
• Collision
• Collision Resolution Techniques

• Separate Chaining
• open addressing
• linear probing

• quadratic probing
• double hashing
• Rehashing

Priority Queue-Definition

• Operations-Insertion, Deletion,

Heap

• Definition
• Max Heap
• Min Heap
• Insertion and deletion

Pattern matching algorithms

• Brute force
• Boyer –Moore algorithm
• Knuth-Morris-Pratt algorithm

Tries

• Standard Tries
• Compressed Tries
• Suffix tries

Dynamic Programming

Greedy Method

Divide and conquer method

Conquer Coding Challenges: Your Guide to Data Structure Training in Bhopal (2024)

Ever felt like coding problems are like puzzles with missing pieces? Data structures can be the missing link! Mastering data structures unlocks a world of efficient coding practices, making you a more confident and sought-after programmer.

This guide explores the world of data structure training in Bhopal for 2024, all presented in clear, easy-to-understand language. Whether you’re a coding newbie or a seasoned developer looking to refine your skills, you’ll find valuable information to help you navigate the training landscape in Bhopal.

What are Data Structures?

Imagine a toolbox filled with different compartments to organize your tools. Data structures are like these compartments – they’re organized ways to store and manage information in your computer programs. Different data structures are best suited for different types of data and tasks.

Why is Learning Data Structures Important?

Just like a messy toolbox makes it hard to find the right tool quickly, inefficient data structures can slow down your programs and make them difficult to maintain. Here’s why mastering data structures is crucial:

• Improved Efficiency: Data structures allow you to access and manipulate data in the fastest possible way, making your programs run smoother and handle complex tasks effectively.
• Enhanced Problem-Solving Skills: Understanding data structures equips you to approach coding problems with a more strategic and organized mindset.
• Stronger Coding Foundation: Data structures are the building blocks of efficient algorithms, and mastering them sets you up for success as you delve deeper into coding.
• Increased Employability: Employers look for programmers who understand how to manage data efficiently. Data structure knowledge makes your resume stand out!

Who Should Consider Data Structure Training?

• Aspiring Programmers: If you’re new to coding, data structures are an essential foundation for building strong coding skills.
• Junior Developers: Want to take your coding skills to the next level and impress potential employers? Data structure training can give you a competitive edge.
• Experienced Programmers: Even seasoned developers can benefit from revisiting and refining their understanding of data structures in the ever-evolving world of technology.

Types of Data Structure Training in Bhopal (2024):

• Coding Bootcamps: Bootcamps offer intensive data structures training, often in a short timeframe, focusing on practical application and preparing you for coding challenges.
• Institute Courses: Institutes offer structured and comprehensive data structures courses, often with classroom lectures and lab sessions.
• Online Training Platforms: Explore online platforms that provide self-paced data structure courses, allowing you to learn at your own convenience.

Finding the Right Training for You:

With various data structure training options available in Bhopal, here’s what to consider when making your choice:

• Your Learning Style: Do you learn best in a classroom setting, through online lectures, or by working on projects independently?
• Time Commitment: How much time can you dedicate to training, considering your current schedule?
• Budget: Bootcamps might be more expensive than online courses, but they offer a more immersive experience.
• Course Content: Ensure the training covers core data structures like arrays, linked lists, stacks, queues, trees, and graphs, tailored to your career goals.

Beyond the Basics:

While mastering the fundamentals is crucial, some institutes or online courses might offer additional benefits:

• Project-Based Learning: Applying your newfound knowledge to real-world coding projects can solidify your understanding and build your portfolio.
• Placement Assistance: Certain institutes might offer career guidance or placement assistance to help you land your dream job after completing the training.

Taking the Next Step:

Now that you’re armed with information about data structure training in Bhopal (2024), here’s how to move forward:

• Research Training Providers: Search online for bootcamps, institutes, and online platforms offering data structures training in Bhopal.
• Compare Programs: Read program descriptions, reviews, and assess their suitability based on your learning style and budget.
• Contact Training Providers: Don’t hesitate to reach out with any questions you might have about the program structure, course content, or enrollment process.

Invest in Your Coding Future:

Data structures are not just technical jargon – they’re powerful tools that can transform you into a highly efficient and confident programmer. By investing in data structure training in Bhopal, you’re unlocking a world of coding possibilities and setting yourself up for a successful career in the exciting world of technology.

Additional Tips:

• Start with Free Resources: Before committing to a paid course, explore free online resources like tutorials and coding challenges to gauge your interest and knowledge gaps.
• Practice Makes Perfect: Once you learn about data structures, actively practice coding problems to solidify your understanding and

Categories: Classroom Training

 Tags: Data Structure Training