Data Structures & Algorithms: Part 1

4h 39m 17s
English
Paid
April 9, 2024

Studied Computer Science - but never really understood the complex topic of data structures and algorithms? Or maybe you’re a self-taught programmer, with little to no knowledge of this important topic. Or perhaps you failed a job interview because you couldn't answer basic data structure and algorithm questions. Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems.

More

That’s why companies like Google, Microsoft and Amazon, always include interview questions on data structures and algorithms. They want to assess your problem-solving skills. They don't care how many programming languages and frameworks you're familiar with

Watch Online Data Structures & Algorithms: Part 1

Join premium to watch
Go to premium
# Title Duration
1 Course Outline 02:53
2 Introduction 00:25
3 What is Big O 01:59
4 O(1) 01:30
5 O(n) 03:45
6 O(n^2) 02:25
7 O(log n) 02:40
8 O(2^n) 00:51
9 Space Complexity 02:33
10 Introduction 00:45
11 Understanding Arrays 03:09
12 Working with Arrays in Java 03:30
13 Exercise- Array Class 02:52
14 Solution- Creating the Class 03:20
15 Solution- insert() 04:20
16 Solution- removeAt() 04:52
17 Solution- indexOf() 02:29
18 Dynamic Arrays 03:49
19 Summary 01:10
20 Introduction 00:37
21 What are Linked Lists 04:34
22 Working with Linked Lists 03:25
23 Exercise- Building a Linked List 01:26
24 Solution- addLast 06:10
25 Solution- addFirst 02:14
26 Solution- indexOf 01:55
27 Solution- contains 01:06
28 Solution- removeFirst 04:24
29 Solution- removeLast 04:41
30 Implementing size() 04:16
31 Converting Linked Lists to Arrays 02:11
32 Cheat Sheets 01:13
33 Arrays vs Linked Lists 03:22
34 Types of Linked Lists 03:15
35 Exercise- Reversing a Linked List 01:34
36 Solution- Reversing a Linked List 09:01
37 Exercise- Kth Node from the End 03:21
38 Solution- Kth Node from the End 05:23
39 Summary 01:13
40 Introduction 00:32
41 What are Stacks 02:48
42 Working with Stacks 02:22
43 Exercise- Reversing a String 00:42
44 Solution - Reversing a String 05:02
45 Exercise- Balanced Expressions 02:55
46 Solution- A Basic Implementation 05:18
47 Solution- Supporting Other Brackets 03:37
48 Solution- First Refactoring 04:10
49 Solution- Second Refactoring 05:51
50 Exercise- Building a Stack Using an Array 00:48
51 Solution- Implementing a Stack Using an Array 08:19
52 Summary 00:34
53 Introduction 00:27
54 What are Queues 02:05
55 Queues in Java 05:13
56 Exercise- Reversing a Queue 01:07
57 Solution- Reversing a Queue 02:18
58 Exercise- Building a Queue Using an Array 02:04
59 Solution- A Basic Implementation 06:33
60 Solution- Circular Arrays 05:55
61 Exercise- Implementing a Queue Using a Stack 00:56
62 Solution- Building a Queue Using a Stack 07:44
63 Priority Queues 01:54
64 Exercise- Building a Priority Queue 03:58
65 Solution- Building a Priority Queue 08:52
66 Solution- Refactoring 03:03
67 Summary 00:58
68 Introduction 00:27
69 What are Hash Tables 02:45
70 Working with Hash Tables 06:07
71 Exercise- Find the First Non-repeated Character 00:55
72 Solution- First Non-repeating Character 07:40
73 Sets 02:24
74 Exercise- First Repeated Character 00:33
75 Solution- First Repeated Character 02:37
76 Hash Functions 05:56
77 Collisions 01:07
78 Chaining 01:41
79 Open Addressing- Linear Probing 02:42
80 Open Addressing- Quadratic Probing 01:30
81 Open Addressing- Double Hashing 03:20
82 Exercise- Build a HashTable 02:37
83 Solution- put() 06:08
84 Solution- get() 04:30
85 Solution- remove() 02:31
86 Solution- Refactoring 11:05
87 Summary 01:26
88 Course Wrap Up 00:33

Similar courses to Data Structures & Algorithms: Part 1

Ultimate Java Part 2: Object-oriented Programming

Ultimate Java Part 2: Object-oriented Programming

Duration 3 hours 41 minutes 47 seconds
The complete guide to running Java in Docker and Kubernetes
Master Spring Boot 3 & Spring Framework 6 with Java

Master Spring Boot 3 & Spring Framework 6 with Java

Duration 37 hours 34 minutes 14 seconds
Java Master Class

Java Master Class

Duration 24 hours 40 minutes 37 seconds
Java Design Patterns & SOLID Design Principles

Java Design Patterns & SOLID Design Principles

Duration 17 hours 5 minutes 6 seconds
Data Structures in Java

Data Structures in Java

Duration 8 hours 3 minutes 54 seconds
The Complete Java Developer

The Complete Java Developer

Duration 40 hours 41 minutes 12 seconds
Java Programming Bootcamp: Zero to Mastery

Java Programming Bootcamp: Zero to Mastery

Duration 9 hours 15 minutes 36 seconds
The Ultimate Data Structures & Algorithms: Part 2

The Ultimate Data Structures & Algorithms: Part 2

Duration 5 hours 56 minutes 46 seconds
Concurrency, Multithreading and Parallel Computing in Java

Concurrency, Multithreading and Parallel Computing in Java

Duration 8 hours 10 minutes 34 seconds