Data Structure and Algorithms Analysis - Job Interview
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Data Structure and Algorithms Analysis - Job Interview

Write code that run faster, use less memory and prepare for Job Interview
Best Seller
4.3 (1,216 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
15,441 students enrolled
Created by Hussein Al Rubaye
Last updated 9/2017
English
English [Auto-generated]
Current price: $10 Original price: $200 Discount: 95% off
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Includes:
  • 9.5 hours on-demand video
  • 2 Articles
  • 1 Supplemental Resource
  • 1 Coding exercise
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I 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
View Curriculum
Requirements
  • No previous programming experience is required! I will give you free Java course if you do not have programming experiences with any programming languages
  • You will need a computer running Microsoft Windows, or Linux, or a Mac running OS X.
Description

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

Who is the target audience?
  • Studends who are interested in writing code that run faster and use less memory
  • People who want to apply for job as software engineer or software developer
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Curriculum For This Course
79 Lectures
09:31:56
+
Introduction and Settings
7 Lectures 11:49

Interview triks
01:33


Complete Free Java course
00:10

Install Java JDK
03:30

Install Eclipse
02:19

Exercise files
00:04
+
Code Complexity
2 Lectures 20:13
+
Data Structure
24 Lectures 03:11:03

One-Dimension Array
09:04

One-Dimension Array implementation in Java
11:25



Dynamic Array
05:35

Dynamic Array implementation in Java
12:33

Linked List
12:53

Linked List implementation in Java
12:17

Doubly Linked List implementation in Java
07:59

Linked List vs Array
04:50

Hash-Table
09:44

Hash-Table implementation in Java
18:48

Stack
07:03

Stack implementation in Java Use Array
09:07

Stack implementation in Java Use Dynamic Array
04:47

Stack implementation in Java Use Linked List
04:52

Queue
05:28

Queue implementation in Java Use Array
09:05

Queue implementation in Java Use Dynamic Array
03:43

Queue implementation in Java Use Linked List
10:07

Priority queue
03:44

HW||Combine two Linked List
02:57

HW||Best data structure for Array With Many Zeros
01:53
+
Collections In Java
8 Lectures 48:41
Data Structure functions in Java
03:06

ArrayList
06:16

LinkedList
02:34

HashMap
04:36

TreeSet HashSet
02:08

Stack
01:32

Queue and Priority Queue
11:02

Recursion
17:27
+
Searching Algorithms
6 Lectures 38:14
Linear Search
04:55

Linear Search implementation in Java
08:30

Binary Search
10:46

Binary Search implementation in Java
06:06

Interpolation Search
05:03

Interpolation Search implementation in Java
02:54
+
Sorting Algorithms
10 Lectures 01:12:48
Bubble sort
07:02

Bubble Sort implementation in Java
05:20

Selection Sort
04:39

Select Sort implementation in Java
04:56

Quick Sort
05:43

Quick Sort implementation in Java
07:32

Merge Sort
07:56

Merge Sort implementation in Java
06:40

Heap Sort
09:07

Heap Sort implementation in Java
13:53
+
Tree Theory
5 Lectures 56:40
Binary Tree and Binary Search Tree
13:44

Binary Search Tree implementation in Java
12:09

Problem of the Day
06:15

Red-Black Tree
20:58

HW||Find SubTrees
03:34
+
Graph Theory
9 Lectures 01:13:40
Matrix and Adjacency List
15:10

Depth First Search(DFS)
07:26

DFS implementation in Java
19:03

Breadth First Search (BFS)
03:48

BFS implementation in Java
04:46

Backtracking
06:48

Preorder and PostOrder
03:51

HW||Visit Cities in best Weather
02:43


Nearest post office
1 question
+
Short Path in Graph Theory
3 Lectures 32:10
Nearest Neighbor and Shortest path
07:17

Dijkstra's Algorithm
08:15

A* Algorithm
16:38
+
Dynamic Programming
4 Lectures 21:49
Dynamic Programming concept
06:01

Edit distance
12:45

HW||Find Word in list of characters
00:52

HW||Knapsack problems
02:11
1 More Section
About the Instructor
Hussein Al Rubaye
4.3 Average rating
7,755 Reviews
83,365 Students
6 Courses
Software Engineer and Developer

I am PhD student and i have master in Software engineering from Rochester Institute of Technology in US, my interesting area is teaching programming languages to develop mobile,Windows, and web apps. I am working as researcher to improve programming skills, So i want to find best and easy way to learn programming. Also i worked as web developer for 8 years.  I have apps in Google play,Microsoft store, and  Apple Store. I have more than million users who are using my apps. Also I have many tutorials on YouTube to teach programming languages. Because of my contribution in teaching programming , i Got Microsoft Most Valuable Professional (MVP) for 2017. For more see my website.