Data Structures & Algorithms
Learn Python the Smart Way - Core + Advanced in One Course.
Our Data Structures and Algorithms (DSA) online course is designed to take you from core programming fundamentals to advanced problem-solving skills with a clear and structured approach. You will learn essential concepts such as arrays, linked lists, stacks, queues, recursion, trees, graphs, and hashing, followed by advanced topics including sorting and searching algorithms, dynamic programming, greedy techniques, and real-world optimization problems. The course includes live interactive classes, recorded sessions, hands-on coding practice, and full mentor support to ensure strong logical thinking and practical implementation skills. It is ideal for beginners, students, and working professionals who want to crack technical interviews and build a strong career in software development.
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Course Details
Duration:
3 Months
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Data Structures and Algorithms
1. Introduction
- Introduction to Data Structures
- Data Structures and Real-Time Applications
2. Arrays
- Insertion, Searching, Removal
- Other Array Operations
- Remove Duplicates from Sorted Array
- Rotate Array by K Positions (Normal & Reversal)
3. Linked List
- Singly Linked List Basics
- Insertion, Deletion & Searching
- Linked List vs Array
- Middle Node, Nth Node, Reverse
- Loop Detection
4. Doubly Linked List
- Insert at Beginning & End
- Delete Node
- Types of Linked Lists
5. Circular Linked List
- Insert at Beginning & End
- Search & Delete Node
6. Stack
- Stack using Array & Linked List
- Expression Parsing
- Two Stacks in an Array
- Reverse String
- Balanced Expression
- Infix, Prefix & Postfix
- Postfix Evaluation
7. Queue
- Queue using Array & Linked List
- Circular Queue
- Priority Queue
- Deque
8. Trees
- Binary Tree & BST
- Insert, Search & Delete
- Inorder Traversal
- AVL Trees
- Min, Size, Height, Mirror
- BST Validation
9. Graphs
- Graph Basics & Degree
- Adjacency Matrix & List
- Implementation & Comparison
10. Binary Heaps
- Binary Heap & Priority Queue
- Heapify
- Delete Maximum Element
11. Introduction to Algorithms
- Algorithm Basics
- Writing & Analyzing Algorithms
12. Time & Space Complexity
- Time & Space Analysis
- Rate of Growth
- Comparing Algorithms
13. Asymptotic Notations
- Big-O, Omega & Theta
14. Searching Algorithms
- Linear Search
- Binary Search
15. Hashing
- Hashing & Collisions
- Linear & Quadratic Probing
- Separate Chaining
16. Sorting Algorithms
- Selection, Bubble, Insertion Sort
- Heap Sort
- Quick Sort
- Merge Sort
- Comparison & Non-Comparison Sorts
17. Divide and Conquer
- Divide & Conquer Strategy
- Binary Search
18. Optimization Problems
- Optimization Problem Basics
- Problem Solving Techniques
19. Dynamic Programming
- Memoization
- Fibonacci (Top-Down & Bottom-Up)
20. Greedy Algorithms
- Minimum Coin Exchange
- Greedy Limitations
21. Graph Traversal
- Breadth First Search (BFS)
- Depth First Search (DFS)