Course Content
Subtitle Guide – Hướng dẫn thêm phụ đề
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01 – Introduction
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001 How To Succeed In This Course
05:04
002 Join Our Online Classroom!
04:01
003 Exercise Meet Your Classmates and Instructor
004 Monthly Coding Challenges, Free Resources and Guides
02 – Getting More Interviews
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001 Section Overview
05:39
002 Resume
05:09
003 Exercise Resume Walkthrough
17:05
004 Resume Review
02:37
005 Resources Resume Templates
006 What If I Don’t Have Enough Experience
15:03
007 Optional Exercise Github Master
008 LinkedIn
08:22
009 Optional Exercise LinkedIn Endorsements
010 Portfolio
03:23
011 Resources Free Portfolio Templates
012 Email
08:24
013 Resources Email
014 Where To Find Jobs
06:02
015 Resources Where To Find Jobs
016 When Should You Start Applying
03:34
017 Section Summary
02:17
03 – Big O
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001 Setting Up Your Environment
02:53
002 Section Overview
02:24
003 Python, Java, CC++, C#, Golang, Swift, Kotlin, TypeScript, + Perl Solutions!
004 Big O Cheatsheet
005 What Is Good Code
06:57
006 Big O and Scalability
11:08
007 O(n)
05:39
008 O(1)
06:10
009 Exercise Big O Calculation
010 Solution Big O Calculation
05:54
011 Exercise Big O Calculation 2
012 Solution Big O Calculation 2
02:29
013 Simplifying Big O
01:50
014 Big O Rule 1
04:28
015 Big O Rule 2
06:37
016 Big O Rule 3
03:13
017 O(n^2)
07:13
018 Big O Rule 4
06:47
019 Big O Cheat Sheet
03:19
020 What Does This All Mean
05:32
021 O(n!)
01:18
022 3 Pillars Of Programming
03:32
023 Space Complexity
02:22
024 Exercise Space Complexity
06:24
025 Exercise Twitter
07:13
026 Optional Javascript Loops
03:27
027 Section Summary
04:43
04 – How To Solve Coding Problems
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001 Section Overview
05:04
002 What Are Companies Looking For
03:05
003 What We Need For Coding Interviews
03:27
004 Exercise Google Interview
02:31
005 Exercise Interview Question
20:33
006 Exercise Interview Question 2
22:59
007 Review Google Interview
01:30
008 Optional Exercise Google Interview On Your Own
009 Section Summary
03:36
05 – Data Structures Introduction
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001 Section Overview
01:58
002 What Is A Data Structure
05:53
003 How Computers Store Data
12:34
004 Data Structures In Different Languages
03:28
005 Operations On Data Structures
03:05
06 – Data Structures Arrays
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001 Arrays Introduction
13:51
002 Static vs Dynamic Arrays
06:40
003 Quick Note Upcoming Video
004 Optional Classes In Javascript
24:52
005 Implementing An Array
17:19
006 Strings and Arrays
01:04
007 Exercise Reverse A String
01:35
008 Solution Reverse A String
10:31
009 Exercise Merge Sorted Arrays
00:44
010 Solution Merge Sorted Arrays
14:12
011 Interview Questions Arrays
012 Arrays Review
03:28
07 – Data Structures Hash Tables
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001 Hash Tables Introduction
04:10
002 Hash Function
05:56
003 Hash Collisions
09:43
004 Hash Tables In Different Languages
03:30
005 Exercise Implement A Hash Table
03:51
006 Solution Implement A Hash Table
17:25
007 keys()
06:11
008 Extra keys() Without Collision
009 Hash Tables VS Arrays
02:01
010 Exercise First Recurring Character
01:18
011 Solution First Recurring Character
16:11
012 Interesting Tidbit Python Dictionaries
013 Hash Tables Review
06:09
08 – Data Structures Linked Lists
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001 Linked Lists Introduction
02:26
002 What Is A Linked List
04:36
003 Exercise Imposter Syndrome
02:56
004 Exercise Why Linked Lists
02:05
005 Solution Why Linked Lists
05:35
006 What Is A Pointer
05:45
007 Our First Linked List
08:38
008 Solution append()
05:25
009 Solution prepend()
02:28
010 Node Class
02:42
011 insert()
05:12
012 Quick Note Upcoming Video
013 Solution insert()
13:08
014 Solution remove()
05:21
015 Doubly Linked Lists
03:18
016 Exercise Doubly Linked Lists
017 Solution Doubly Linked Lists
08:50
018 Singly VS Doubly Linked Lists
02:40
019 Exercise reverse()
01:30
020 Solution reverse()
07:38
021 Linked Lists Review
05:08
09 – Data Structures Stacks + Queues
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001 Stacks + Queues Introduction
02:58
002 Stacks
03:28
003 Queues
03:30
004 Exercise Stacks VS Queues
03:06
005 Solution Stacks VS Queues
03:39
006 Quick Note Upcoming Video
007 Optional How Javascript Works
24:12
008 Exercise Stack Implementation (Linked Lists)
02:23
009 Solution Stack Implementation (Linked Lists)
08:58
010 Exercise Stack Implementation (Array)
00:53
011 Solution Stack Implementation (Array)
03:56
012 Exercise Queue Implementation
01:48
013 Solution Queue Implementation
07:50
014 Queues Using Stacks
02:05
015 Stacks + Queues Review
02:19
10 – Data Structures Trees
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001 Trees Introduction
06:23
002 Binary Trees
05:45
003 O(log n)
07:00
004 Binary Search Trees
06:12
005 Balanced VS Unbalanced BST
03:42
006 BST Pros and Cons
02:26
007 Exercise Binary Search Tree
03:57
008 Solution insert()
10:10
009 Solution lookup()
04:54
010 Extra Exercise remove()
02:28
011 Solution remove()
07:41
012 AVL Trees + Red Black Trees
02:56
013 Resources AVL Trees + Red Black Trees
014 Binary Heaps
05:36
015 Quick Note on Heaps
01:08
016 Priority Queue
05:27
017 Trie
03:16
018 Tree Review
00:51
11 – Data Structures Graphs
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001 Graphs Introduction
02:28
002 Types Of Graphs
03:32
003 Exercise Guess The Graph
02:45
004 Graph Data
05:58
005 Exercise Graph Implementation
04:06
006 Solution Graph Implementation
04:51
007 Graphs Review
02:04
008 Data Structures Review
01:52
009 What Else Is Coming Up
01:53
12 – Algorithms Recursion
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001 Introduction to Algorithms
03:52
002 Recursion Introduction
05:36
003 Stack Overflow
06:17
004 Anatomy Of Recursion
10:27
005 Exercise Factorial
03:25
006 Solution Factorial
06:20
007 Exercise Fibonacci
01:59
008 Solution Fibonacci
11:21
009 Recursive VS Iterative
04:16
010 When To Use Recursion
04:00
011 Exercise Reverse String With Recursion
012 Recursion Review
02:47
13 – Algorithms Sorting
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001 Sorting Introduction
07:01
002 The Issue With sort()
06:51
003 Sorting Algorithms
03:38
004 Bubble Sort
03:46
005 Exercise Bubble Sort
006 Solution Bubble Sort
05:06
007 Selection Sort
02:39
008 Exercise Selection Sort
009 Solution Selection Sort
02:23
010 Dancing Algorithms
01:36
011 Insertion Sort
02:38
012 Exercise Insertion Sort
013 Solution Insertion Sort
02:06
014 Merge Sort and O(n log n)
08:59
015 Exercise Merge Sort
016 Solution Merge Sort
04:44
017 Stable VS Unstable Algorithms
018 Quick Sort
07:40
019 Optional Exercise Quick Sort
020 Which Sort Is Best
04:40
021 Resources Heap Sort
022 Radix Sort + Counting Sort
04:17
023 Resources Radix Sort + Counting Sort
024 Exercise Sorting Interview
01:27
025 Solution Sorting Interview
07:07
026 Sorting In Your Language
01:27
027 Sorting Review
02:53
14 – Algorithms Searching + BFS + DFS
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001 Searching + Traversal Introduction
01:34
002 Linear Search
03:37
003 Binary Search
06:05
004 Graph + Tree Traversals
03:56
005 BFS Introduction
02:45
006 DFS Introduction
03:23
007 BFS vs DFS
03:20
008 Resources BFS vs DFS
009 Exercise BFS vs DFS
00:44
010 Solution BFS vs DFS
03:16
011 breadthFirstSearch()
09:15
012 breadthFirstSearchRecursive()
05:33
013 PreOrder, InOrder, PostOrder
05:21
014 depthFirstSearch()
12:03
015 Optional Exercise Validate A BST
016 Graph Traversals
03:53
017 BFS in Graphs
02:07
018 DFS in Graphs
02:50
019 Dijkstra + Bellman-Ford Algorithms
05:11
020 Searching + Traversal Review
04:21
15 – Algorithms Dynamic Programming
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001 Dynamic Programming Introduction
01:51
002 Memoization 1
07:47
003 Memoization 2
03:56
004 Fibonacci and Dynamic Programming
05:33
005 Dynamic Programming
05:47
006 Implementing Dynamic Programming
09:12
007 Interview Questions Dynamic Programming
008 Dynamic Programming Review
04:45
16 – Non Technical Interviews
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001 Section Overview
02:38
002 During The Interview
09:04
003 Exercise Hero Stories
004 Tell Me About Yourself
05:30
005 Exercise Your Pitch
006 Why Us
05:06
007 Tell Me About A Problem You Have Solved
05:18
008 Exercise Past Projects
00:00
009 What Is Your Biggest Weakness
02:19
010 Exercise Your Biggest Weakness
011 Any Questions For Us
03:24
012 Resources Questions To Ask A Company
013 Secret Weapon
08:11
014 After The Interview
05:24
015 Section Summary
03:56
17 – Offer + Negotiation
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001 Section Overview
02:10
002 Handling Rejection
04:07
003 Negotiation 101
09:40
004 Handling An Offer
09:03
005 Handling Multiple Offers
07:29
006 Getting A Raise
07:41
007 Exercise Negotiation Master
008 Section Summary
02:09
18 – Thank You
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002 Thank You
00:52
19 – Extras Google, Amazon, Facebook Interview Questions
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001 Coding Problems
01:25
002 Top Interview Questions
003 Amazon Interview Questions
004 Facebook Interview Questions
00:00
005 Google Interview Questions
006 Domain Specific Questions
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20 – Extra Bits
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001 Learning Guideline
002 Quick Note Upcoming Videos
003 From JTS Learn to Learn
01:59
004 From JTS Start With Why
02:43
005 Coding Challenges
006 How To Use Leetcode
02:27
Master the Coding Interview: Data Structures + Algorithms
About Lesson

Recently, the Python programming language has made Dictionaries (their Hash Tables) ordered by default! So in that language, the difference between and Array (List in Python) and Hash Table (Dict in Python) are less. You can read more about it here: https://softwaremaniacs.org/blog/2020/02/05/dicts-ordered/en/

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