<p>A computer program is a collection of instructions to perform a specific task. 
Okay, wait! ⏳</p>
<p>You all already knew this.</p>
<p><strong>What you don't know?</strong></p>
<p>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.</p>
<p>Let's promise 🤞 several things here in the introduction before creating the whole series.</p>
<ul>
<li>I will be straight on point 😉</li>
<li>No lengthy round, round text 📍</li>
<li>Selective topics i.e. important to crack the interview 😊</li>
<li>At the end of each topic, attaching <strong>MNC interview</strong> question 🙈</li>
</ul>
<p>Enough promises right?</p>
<p>So, what I will be covering here in the series?</p>
<h2 id="topic-to-discuss">Topic to Discuss</h2>
<ol>
<li>What is an algorithm &amp; trick of a master algorithm.</li>
<li>Data Structure - I (Stack, Queues)</li>
<li>Data Structure - II (Linked List, Hash Table, Heap)</li>
<li>Tree DSA (Tree, B Tree, AVL Tree)</li>
<li>Graph (Spanning Tree, DFS Algorithm, BFS)</li>
<li>Sorting &amp; Searching (Bubble, Selection, Insertion, Merge, Quick)</li>
<li>Greedy Algorithms </li>
<li>Dynamic Programming</li>
<li>Backtracking, Robin-Karp Algorithm</li>
</ol>
<h2 id="why-learn-dsa">Why Learn DSA?</h2>
<ul>
<li>To write optimized and scalable code</li>
<li>Effective use of time and memory</li>
<li>Better job opportunities</li>
<li>Core of Computer Science</li>
<li>All-rounder job possibility</li>
<li>To solve some real-world complex problems</li>
<li>DSA become important in the Machine Learning industry</li>
</ul>


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


Introduction to Data Structure & Algorithm

Hi, I'm Rahul Singh 🧙‍♂️, a passionate self-taught Backend Developer & Machine Learning Enthusiast from India 🇮🇳.


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