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TECHNICAL

Data Structures and Algorithms (DSA)

Mastering Data Structures and Algorithms (DSA) is crucial for coding interviews, competitive programming, and software development. This course covers essential data structures (arrays, linked lists, stacks, queues, trees, graphs) and key algorithms (sorting, searching, dynamic programming). You'll learn to implement and optimize them, building strong problem-solving skills and understanding algorithmic efficiency. Through theory and hands-on coding exercises, you'll gain confidence to tackle complex problems, excel in placement exams, and stand out in technical interviews. These skills are vital for designing efficient, scalable software systems, making them invaluable for a successful career in software development.

Course Topics:

1. Introduction to Data Structures & Complexity Analysis:
Understanding what data structures are and their importance in programming.
Analyzing the time and space complexity of algorithms using Big O notation.
2. Arrays, Linked Lists, Stacks & Queues:
Arrays: Working with arrays and understanding their limitations.
Linked Lists: Implementing and using singly and doubly linked lists.
Stacks: Understanding the LIFO (Last In, First Out) principle and stack operations.
Queues: Implementing queues using the FIFO (First In, First Out) principle.
3. Trees & Graphs:
Trees: Understanding binary trees, binary search trees, and their operations.
Graphs: Representing graphs using adjacency matrices and adjacency lists.
Traversal Algorithms: Implementing depth-first search (DFS) and breadth-first search (BFS).
4. Sorting, Searching & Hashing:
Sorting Algorithms: Implementing algorithms like bubble sort, quicksort, and mergesort.
Searching Algorithms: Understanding binary search and linear search.
Hashing: Using hash tables for efficient data retrieval.
5. Recursion, Backtracking & Dynamic Programming:
Recursion: Solving problems using recursive methods.
Backtracking: Exploring all possible solutions using backtracking techniques.
Dynamic Programming: Optimizing recursive solutions using memoization and tabulation.

What You Will Learn?

  • Fundamentals of Data Structures and Algorithms
  • Problem-solving techniques for coding interviews
  • Hands-on implementation of key concepts
  • Important questions for various CRT exams and competitive programming

Requirement For This Course

Computer / Mobile

Computer / Mobile

Internet Connection

Internet Connection

Paper / Pencil

Paper / Pencil

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Course Fee:

₹9000 ₹4999

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Course Includes:

  • Book Icon

    36 Lessons

  • Clock Icon

    100 hr

  • Expert Skill Icon

    Expert Skill

  • Language Icon

    English/Hindi Language

  • Students Icon

    1200+ Students

  • Certification Icon

    Finish in 20-30 days

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