Welcome to the Bootcamp for Data Structures and Algorithms. The Bootcamp is an intensive course designed to provide a comprehensive understanding of fundamental data structures and algorithms. It is typically aimed at programmers and software engineers who want to enhance their problem-solving skills and gain a solid foundation in computer science concepts.

Throughout the bootcamp, there are typically hands-on coding exercises, problem-solving sessions, and assessments to reinforce the concepts. The course may also involve the use of popular programming languages like Java, or C++ to implement the algorithms and data structures.

Overall, the DSA Bootcamp aims to equip participants with a solid understanding of essential data structures and algorithms, enabling them to tackle complex programming problems more efficiently and effectively.

• 20+ hours of quality content
• Certifacte on course completion
• 70+ MCQs for Placement Assistance
• Coding Contests for self-assessment
• Access on phone/TV
• Short and Curated Notes for Quick Revision for exams
• Doubt Assistance in every Topic and Problem
• Live Community Sessions

• Variables,Data types and Conditional Programming

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• • Overview of programming languages and their applications
  • Understanding the importance of syntax and code structuret
  • Conditional statements (if, else if, else)

• Loops and functions statement

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• • Defining and calling functions
  • Passing arguments to functions
  • Loop iteration(pattern problems)

• Arrays and Strings

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• • Understanding the importance of syntax and code structure
  • implementation Array algorithms and string algorithms (kadane's algorithm)
  • binary search and sliding window techniques

• Linked List

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• • Understanding the importance of syntax and code structure of linked list implementation
  • basic understanding of pointers
  • implementing operations in 1D linked list nad doubly linked list (searching , deletion and insertion )

• Stack and Queue

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• • implementation of stack and queue using array and linked list
  • interconversion of postfix, prefix and infix
  • understanding some advance problem (monotonic stack and queue problems )

• Hash Tables and Trees

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• • understanding and implementation of hash table
  • learn tree traversal more efficiently
  • understand the concepts of binary search tree

• Heaps and tries

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• • implementation of max heap and min heap .
  • Understanding the importance of syntax and code structure
  • implement tries (insert ,search , startwith )

• Graphs

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• • learn representation of graphs
  • Understand BFS and DFS in depth .
  • shortest path algorithms and problems

• Recursion and Backtracking

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• • Get your hold on recursion
  • subsequence problems
  • understand the concepts of backtracking

• Algorithm: Searching and Sorting

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• • Understand the algorithms in depth.
  • linear search and binary search
  • sorting algorithms (merge sort , quick sort ,heap sort )

• bit manipulations and advance mathematics

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• • introduction to advance maths
  • Understanding the importance of syntax and code structure of bits
  • implement in different problems

• Projects

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• • sudoku solver
  • tic tac toe
  • shortest path finder

• Interview Problems

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• • Coding interview formats and expectations
  • Strategies for approaching coding problems in interviews
  • Mock interviews and feedback sessions