If you are new in the programming world and want to learn **Data Structures** and **Algorithms** from basic to advanced topics with a step-by-step explanation then you are in the right place.

all you need is to just follow these tutorials to learn **Data Structures and algorithms.**

__Basic Algorithms__

- What are Data Structures and algorithms
- Algorithm design and analysis
- Classification of algorithms
- How to calculate the running time of an algorithm.
- Worst Average and Best-case analysis of the algorithm.
- Big o notation
- Big o notation examples

__Linked List__

- Linked List in Data Structures
- Traversing in Linked list
- Operations on the linked list
- Insertion in the linked list
- Deletion in a linked list
- Reversing a linked list
- Sorting a linked list
- Find and remove the loop in the linked list

__Doubly Linked List__

- Doubly linked list
- Insertion in the doubly linked list
- Deletion in the doubly linked list
- Reversing a doubly linked list

__Circular Linked list__

__Other types of linked list__

__Stack__

__Queue__

__Tree__

__Binary Tree__

- Binary tree
- Array representation of the binary tree
- linked representation of a binary tree
- Traversing in the binary tree
- Inorder traversal in the binary tree
- Preorder traversal in the binary tree
- Postorder traversal in the binary tree
- Level order traversal in the binary tree

__Binary Search tree__

__Heap__

More tutorials and links will be added from time to time. this approach is followed to prepare you for product-based and service-based companies.

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