Competitive Programming Data Structures and Algorithms

Learn competitive programming fundamentals through a comprehensive tutorial series covering essential data structures and algorithms. Master core concepts including time complexity analysis, sorting algorithms (bubble sort, selection sort, insertion sort, heap sort), and fundamental data structures like stacks, queues, binary trees, min heap, and max heap. Practice problem-solving skills with hands-on coding challenges including anagram checking, algorithm visualization, and real-world competitive programming scenarios. Explore search algorithms and their applications in technical interviews. Gain proficiency in analyzing algorithm efficiency and implementing solutions using Python programming language. Develop the analytical thinking required for FAANG company interviews through structured problem statements and detailed solution walkthroughs.

Syllabus

Lecture 1- Data Structures And Analysis Of Algorithms
Lecture 2- Competitive Programming- Problem Statement 1
Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!
Lecture 4- Bubble Sort -Competitive Programming Problem 2
Lets Start Competitive Programming Using Python- First Problem Statement
Tutorial 6-Competitive Programming-New Problem & Visualization Tool To Visualize Python Programming
Tutorial 7-Competitive Programming-Find The Time Complexity Of This Problem
Problem 7 Solution- Find The Time Complexity
Problem 8-Anagram Check Analysis Using Python - Competitive Programming
Problem 8 Solution-Anagram Check Analysis Using Python - Competitive Programming
DSA Series-Lets Become a Pro In Stacks Data Structures
DSA Series-Lets Become a Pro In Queues Data Structures
DSA-Discussing All Search Algorithms With Interview Based Questions- Ft: Priya Bhatia
FAANG DSA Series-Discussing Sorting Algorithms-Selection, Bubble and Insertion Sort- Ft Priya Bhatia
FAANG Interview DSA Series-Heap Sort,Binary Tree,Min Heap and Max Heap Tree AND Interview Questions