Introduction to Data Structure & Algorithm

A computer program is a collection of instructions to perform a specific task. Okay, wait! ⏳

You all already knew this.

What you don't know?

A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a complex problem.

Let's promise 🤞 several things here in the introduction before creating the whole series.

• I will be straight on point 😉
• No lengthy round, round text 📍
• Selective topics i.e. important to crack the interview 😊
• At the end of each topic, attaching MNC interview question 🙈

Enough promises right?

So, what I will be covering here in the series?

Topic to Discuss

1. What is an algorithm & trick of a master algorithm.
2. Data Structure - I (Stack, Queues)
3. Data Structure - II (Linked List, Hash Table, Heap)
4. Tree DSA (Tree, B Tree, AVL Tree)
5. Graph (Spanning Tree, DFS Algorithm, BFS)
6. Sorting & Searching (Bubble, Selection, Insertion, Merge, Quick)
7. Greedy Algorithms
8. Dynamic Programming
9. Backtracking, Robin-Karp Algorithm

Why Learn DSA?

• To write optimized and scalable code
• Effective use of time and memory
• Better job opportunities
• Core of Computer Science
• All-rounder job possibility
• To solve some real-world complex problems
• DSA become important in the Machine Learning industry