Best Data Structure Course Nagpur | Master DSA at Unisoft
Best DSA Course in Nagpur
At Unisoft Technologies, we provide a comprehensive DSA course designed to equip you with the critical skills needed to master Data Structures & Algorithms. Our modular course is tailored for beginners and aspiring professionals seeking to excel in software development through practical, hands-on training.
Why Choose Our Data Structure Course?
Modular Curriculum: Learn through a step-by-step syllabus covering arrays, linked lists, stacks, queues, trees, graphs, and more.
Hands-On Learning: Work on real-world projects and coding labs that enhance your problem-solving and programming skills.
Expert Instructors: Receive training from industry experts who bring practical insights from the field.
Flexible Batch Options: Choose from various batch timings and modes – ensuring a perfect fit for your schedule.
What You Will Learn
Our course covers the fundamentals and advanced concepts of Data Structures and Algorithms. You will learn:
- Array, String, and Linked List operations
- Stacks, Queues, and Deques
- Trees, Graphs, and their Traversal Algorithms
- Sorting and Searching Techniques
- Recursion & Dynamic Programming
- Complexity Analysis and Optimization
Meet Our Expert Faculty
Our course is led by Aditya Bhalerao, the best Full Stack, Java & Data Structures expert in Nagpur. With expertise in C, C++, Java, HTML, CSS, JavaScript, and Data Structures, Aditya brings real-world industry insights to every class.
Boost Your Career in Software Development
In today’s competitive market, a strong grasp on Data Structures & Algorithms is essential for cracking technical interviews and excelling in your programming career. Our course empowers you with the tools and practical experience required to become industry-ready.
Data Structure with C Programming
Data Structures is a fundamental subject in modern Computer Science. Every programmer and developer must be well versed with it. This course helps you understand the design, implementation and analysis of Data Structures through C.
Data Structure with C++ Programming
Data Structures and Algorithms are the building blocks of programming complex solutions. Using DSA, you can solve complex problems without any hustle. It tells you to choose algorithms based on the program’s needs. C++ helps you in several factors such as memory management and time complexity instructions in an efficient manner and DSA with C++ is a plus point.
Course Content:
2. Algorithm Analysis [3 hours]
- Time Complexity Analysis (Big O notation).
- Space Complexity Analysis.
- Asymptotic Analysis of Algorithms.
- Recursion and Recursive Algorithms.
- Practical
3. Linear Data Structure [9 hours]
- Stacks : Operations and Applications [theory/practical].
- Queue : Operations and Applications [theory/practical].
- Circular Queue : Operations and Applications [theory/practical].
- Deque : Operations and Applications [theory/practical].
- Practical.
4. Linked Lists [7 hours]
- Operation – Creation, Insertion, Deletion [theory/practical].
- Doubly Linked Lists [theory/practical].
- Circular Linked Lists [theory/practical].
- Practical
5. Sorting Algorithm [5 hours]
- Bubble Sort [1 hour theory/practical].
- Selection Sort [1 hour theory/practical].
- Insertion Sort [1 hour theory/practical].
- Merge Sort [1 hour theory/practical].
- Quick Sort [1 hour theory/practical].
- Practical
6. Searching Algorithm [2 hours]
- Linear Search [1 hour theory/practical].
- Binary Search [1 hour theory/practical].
- Practical
7. Trees [11 hours]
- Binary Trees [theory/practical].
- Operation : Insert, Delete.
- Traversal : Preorder, Inorder, Postorder.
- Binary Search Trees [theory/practical].
- Operation : Insert, Delete.
- Traversal : Preorder, Inorder, Postorder.
- AVL Trees [theory/practical].
- Heaps [4 hours]
- Min heap.
- Max heap.
- Practical
8. Graphs I : Representation an Traversal [4 hours]
- Representation : Adancency Matrix, Adancency List.
- Traversal : Breadth-First Search (BFS), Depth-First Search (DFS).
9. Graphs II : Basic Algorithms [4 hours]
- Minimum Spanning Tree Algorithms : Kruskal's algorithm for minimum spanning tree,Prim's algorithm for minimum spanning tree.
- Shortest Path Algorithms : Dijkstra's algorithm for shortest paths, Bellman-Ford algorithm for shortest paths.
10. Tables [3 hours]
- Hashing Techniques.
11. Sets [3 hours]
- Representation.
- Operation : Union and Find.
12. String Algorithms [7 hours]
- String manipulation and processing.
- Pattern matching algorithms : Naive, Rabin-Karp, Knuth-Morris-Pratt (KMP)
13. Program Development [2 hours]
- Program Specification.
- Pre and Post Condition.
- Program Documentation.