jammaladeyemi / data-structures-and-algorithms

Complete DSA Course - Basics to Advance with concepts, visualization and Interview questions

Welcome To DSA Bootcamp

• The repository consists of all the major files we use throughout the course.
• Initial number with filenames doesn't donotes anything, they are used just to maintain the sequence.

Course Curriculum

Throughout the course, we will explore the most important Data Structures and Algorithms topics step-by-step:

1. Essential Concepts

• Big O Notation
• Memory
• Logarithms
• Recursion

2. Data structures:

• Arrays
• Linked Lists (Singly Linked List, Doubly Linked List, Circular Linked List)
• Stacks- Queues- Hash Tables
• Trees (Binary Tree, Binary Search Tree, AVL Trees, Red-Black Trees)
• Heaps (Binary Heaps)
• Tries
• Graphs

3. Algorithms:

• Elementary Sorting Algorithms (Bubble Sort, Insertion Sort, Selection Sort)
• Advance Searching Algorithms (Quick Sort, Merge Sort)
• Tree Traversal (Breadth First Search: Level Order Traversal and Depth First Search: PreOrder, InOrder, PostOrder)
• Graph Traversal (Breadth-First Search, Depth First Search)

4. Interview Questions

• Two Sum
• MinMax Stack
• Design Linked List
• Reverse Linked List
• Construct Binary Tree
• Invert Binary Tree
• Construct Binary Search Tree
• Detect Capital
• Reverse String
• Longest Palindromic Substring