Data Structures & Algorithms: Part 1
4h 39m 17s
English
Paid
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.
Read more about the course
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
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# | 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 |
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