Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists!

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💡 What you'll learn:
- Big O notation for analyzing code efficiency.
- How to implement and use arrays.
- The basics of linked lists.

👉 This tutorial is perfect for you if:
- You're preparing for technical job interviews.
- You want to improve your coding fundamentals.
- You're a CS student learning these concepts.

Let's get started!

📖 TABLE OF CONTENT
0:00:00 Intro
0:01:04 What is Big O?
0:03:03 O(1)
0:04:32 O(n)
0:08:17 O(n^2)
0:10:41 O(log n)
0:13:20 O(2^n)
0:14:10 Space Complexity
0:17:53 Understanding Arrays
0:21:03 Working with Arrays
0:24:32 Exercise: Building an Array
0:27:24 Solution: Creating the Array Class
0:30:43 Solution: insert()
0:35:03 Solution: remove()
0:39:54 Solution: indexOf()
0:42:23 Dynamic Arrays
0:46:11 Linked Lists Introduction
0:46:41 What are Linked Lists?
0:51:16 Working with Linked Lists
0:54:40 Exercise: Building a Linked List
0:56:05 Solution: addLast()
1:02:15 Solution: addFirst()
1:04:28 Solution: indexOf()
1:06:23 Solution: contains()
1:07:28 Solution: removeFirst()
1:11:52 Solution: removeLast()

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