Welcome to Data Structures and Algorithms - Coding Interview Bootcamp, One single course to start your DSA journey as a beginner step-by-step. This course touches on each and every important topic through concept, visualization, and implementation. The entire course is designed for beginners with one goal in mind, to understand each and every concept from scratch with proper knowledge of their complexities and implementations in Python.
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,
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
Why this course
Complete course is focused on concept learning approach, you learn every concept through a logical and visual learning approach.
Learn all important concepts in the simplest possible way with tons of examples and quizzes.
You just need basic Python knowledge, we will cover everything step-by-step from scratch.
After completing this course you will be ready to work as an Intern, Fresher, or Freelancer and you will also be able to implement everything yourself. Most importantly you will be ready to divide deep with future practice and hard-level questions of Data Structures.
Enroll now, I will make sure you learn best about Data Structures and Algorithms.
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