By Umair Instructor
This course includes
1. Intro to Analysis Tools
2. Asymptotic Analysis
3. Big O notation
4. Relatives of Big O
5. Determining Complexities
6. Q1
7 .Q2
8. Arrays
9. Array Lists
10. Introduction to Linked Lists
11. Singly Linked Lists
12. Doubly Linked Lists
13. Q1
14. Stacks
15. Queues
16. Introduction
17. Tree Traversal
18. Binary Trees and some properties
19. Binary Search Trees
20. Insertion into BST (with code)
21. Deletions in BST
22. BST Complexities
23. Q1
24. Introduction to AVL trees
25. Insertion and Deletions in AVL trees
26. Rotations in AVL trees
27. Q
28. Introduction to Hashtables
29. Hashfunctions I
30. Hashfunctions II
31. Chaining
32. Open Addressing
33. Table Size and Complexities
34. Q1
35. Q2
Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or other way
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