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Certified Data Structures & Algorithms (DSA)Course

  • Placement Guidance
  • Industry-led curriculum
  • Hands-on real-time projects
  • Globally recognized certification from FUZEN IT

Data Structures & Algorithms (DSA) Course Overview

  • Understand the time and space complexity of code using Big O notation

  • Learn essential data structures: arrays, linked lists, stacks, queues, trees, and graphs

  • Explore key algorithms: sorting, searching, recursion, backtracking, and dynamic programming

  • Improve your logic with hands-on coding problems

  • Strengthen your knowledge for technical interviews and coding contests

540+

Project Hours

290

Contact Hours

600

E learning Hours

10 + 1

Tools/Languages

Build Scalable & High-Performance Applications

DSA at Fuzen IT

At FUZEN IT, our DSA course is built to turn you into a confident and efficient problem-solver. We teach every concept from scratch with visual explanations, real-world analogies, and step-by-step coding. Whether you’re preparing for job interviews, GATE/placements, or just want to strengthen your programming core, this course covers everything from basics to advanced algorithmic techniques — all with a hands-on, code-first approach.

  • 80% Practical Traning
  • Get trained form industry Experts
  • Instant doubt solving session
  • 100% Placement Assistance

DSA Course Highlights

  • Designed for Working Professionals and Graduates
  • Live online classes + Lifetime recorded videos
  • In-time Doubt clearing sessions with Mentors
  • Globally recognized FUZEN skill certifications
  • Work on real-life Industry Projects
  • Placement Assistance
  • EMI options available
  • Learn in English
Start learning now

DSA Course Roadmap and Curriculum

Module 1: Introduction & Complexity Analysis

  • What is DSA and why it matters

  • Time and space complexity basics

  • Understanding Big O, Big Theta, and Big Omega

  • Best, worst, and average case analysis

Module 2: Arrays, Strings & Recursion

  • Static and dynamic arrays

  • Searching and sorting arrays

  • Two-pointer and sliding window techniques

  • String manipulation and pattern matching

  • Recursion and recursion tree analysis

Module 3: Linked Lists, Stacks & Queues

  • Singly, doubly, and circular linked lists

  • Stack implementation and applications (infix to postfix, expression evaluation)

  • Queues and types: circular queue, priority queue, deque

  • Real-world use cases and problems

Module 4: Trees & Binary Search Trees

  • Tree terminology and traversal (in-order, pre-order, post-order)

  • Binary Trees vs Binary Search Trees (BSTs)

  • BST operations: insert, delete, search

  • Balanced trees (intro to AVL/Red-Black Trees)

Module 5: Heaps, Hashing & Graphs

  • Heap operations and priority queues

  • Min-Heap, Max-Heap implementation

  • Hashing techniques: chaining, open addressing

  • Graph representations: adjacency list/matrix

  • Graph traversal: BFS, DFS, topological sort

Module 6: Advanced Algorithms & Problem Solving

  • Greedy algorithms: activity selection, coin change

  • Divide and conquer: merge sort, quick sort, binary search

  • Backtracking: N-Queens, Sudoku Solver

  • Dynamic programming: 0/1 Knapsack, LCS, LIS

  • Final problem-solving challenge + mock interview session

Some of Our Success Stories

FAQ's

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

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