**Data Structure and Algorithms Analysis – Job Interview**

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10.5 Hours | 1.48 GB

Write code that run faster, use less memory and prepare for Software Engineer Job Interview

This course prepared depending on my real Software Engineer job interviews experiences with Google, Microsoft, Amazon, and Snapchat.

In this course you will learn how to Analysis algorithms like Sorting, Searching, and Graph algorithms. And how to reduce the code complexity from one Big-O level to another level. Furthermore, you will learn different type of Data Structure for your code. Also you will learn how to find Big-O for every data structure, and how to apply correct Data Structure to your problem in Java. By the end you will be able to write code that run faster and use low memory. You Also will learn how to analysis problems using Dynamic programming.

We will discus code complexity in Different algorithms like Sorting algorithms ( Bubble, Merge, Heap, and quick sort) , searching algorithms ( Binary search, linear search, and Interpolation), Graph algorithms( Binary tree, DFS, BFS, Nearest Neighbor and Shortest path, Dijkstra’s Algorithm, and A* Algorithm). and Data Structure like Dynamic Array, Linked List, Stack, Queue, and Hash-Table

What you’ll learn

- Write code that run faster, and use less memory
- Prepare for job interview
- Learn Data Structure and how to apply these Data Structures on problems in Java
- Learn algorithms analysis and implementation.
- Learn problem solving strategies
- Learn how to find complexity of code and algorithms

**Introduction and Settings**

1 Introduction

2 Interview triks

3 What you need to know before start

4 Complete Free Java course

5 Install Java JDK

6 Install Eclipse

7 Exercise files

**Code Complexity**

8 Code Complexity Big-O Omega and Theta

9 Big-O Examples

**Data Structure**

10 Why Data Structure

11 One-Dimension Array

12 One-Dimension Array implementation in Java

13 Two-Dimension Array

14 Two-Dimension Array implementation in Java

15 Dynamic Array

16 Dynamic Array implementation in Java

17 Linked List

18 Linked List implementation in Java

19 Doubly Linked List implementation in Java

20 Compare Linked List vs Array

21 HWCombine two Linked List (Google Interview Question)

22 Hash-Table

23 Hash-Table implementation in Java

24 Find unique number in Array (Amazon Phone Screen Interview )

25 Key Phrase problem TF-IDF

26 Stack

27 Stack implementation in Java Use Array

28 Stack implementation in Java Use Dynamic Array

29 Stack implementation in Java Use Linked List

30 Queue

31 Queue implementation in Java Use Array

32 Queue implementation in Java Use Dynamic Array

33 Queue implementation in Java Use Linked List

34 Priority queue

35 HWBest data structure for Array With Many Zeros (Google Interview Question)

**Collections In Java**

36 Data Structure functions in Java

37 ArrayList

38 LinkedList

39 HashMap

40 TreeSet HashSet

41 Stack

42 Queue and Priority Queue

43 Sort array of Objects

44 Recursion

**Searching Algorithms**

45 Linear Search

46 Linear Search implementation in Java

47 Binary Search

48 Binary Search implementation in Java

49 Interpolation Search

50 Interpolation Search implementation in Java

**Sorting Algorithms**

51 Bubble sort

52 Bubble Sort implementation in Java

53 Selection Sort

54 Select Sort implementation in Java

55 Quick Sort

56 Quick Sort implementation in Java

57 Merge Sort

58 Merge Sort implementation in Java

59 Heap Sort

60 Heap Sort implementation in Java

**Tree Theory**

61 Binary Tree and Binary Search Tree

62 Binary Search Tree implementation in Java

63 Problem of the Day

64 Red-Black Tree

65 Google Interview Determines if two BST are equal

66 HWFind SubTrees (Google Interview Question)

**Graph Theory**

67 Matrix and Adjacency List

68 Depth First Search(DFS)

69 DFS implementation in Java

70 Breadth First Search (BFS)

71 BFS implementation in Java

72 Backtracking

73 Preorder and PostOrder

74 HWVisit Cities in best Weather (Google Interview Question)

75 HW Nearest post office HW explain (Microsoft Interview Question)

**Short Path in Graph Theory**

76 Nearest Neighbor and Shortest path

77 Dijkstras Algorithm

78 A Algorithm

**Dynamic Programming**

79 Dynamic Programming concept

80 Edit distance

81 HWFind Word in list of characters

82 HWKnapsack problems

83 Knapsack solution in Java

**NP Complete problems**

84 NP Complete problems

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