English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 11.5 Hours | 4.72 GB
Go from zero to hero in the most important algorithms and data structures using Java
If I had to pick the single most important topic in software development, it would be data structures and algorithms. Think of it as the fundamental tools available to every computer programmer. The better you get with these tools the more confident a programmer you’ll become. Software development is a vast field requiring all kinds of skill-sets but getting good at this single topic is a huge leap forward in your programming journey and it’ll certainly pave the way for a successful programming career.
The topics in this course are going to cover data structures such as lists, stacks, queues, trees and some of the most powerful sorting, searching, and graph algorithms that have revolutionized the field of computing. Throughout the course I keep things practical and provide real life examples of how all of these algorithms work and when & where they can be applied to write efficient computer programs.
I’ll be moving at a slow and steady pace introducing each topic followed by a PRACTICAL programming assignment so you can immediately apply what you learned. All homework assignments in the course will be accompanied with step by step solution videos demystifying each problem as I code up the solutions. My goal is to make sure, that after you complete this course you feel completely confident going into a coding interview because you will have built a solid foundation in computer programming. So go ahead and signup and I’ll see you in the course.
What you’ll learn
- Gain Confidence for Coding Interviews
- Learn The Most Practical and Popular Data Structures & Algorithms in-depth rather than a rushed course on Computer Science
- Get practice translating sudo code & implementing algorithms with Assignments and Solutions
- Get an intuitive understanding of how many of the popular algorithms and data structures behave
Table of Contents
Course Overview (Watch this First!)
1 Course Overview (Watch this First!)
Prerequisite Intro to Object Oriented Programming
2 Intro to OOP Class & Object
3 Program Flow and Using the Constructor
4 Application Runtime
5 Java Behind The Scenes
Basic Data Structures
6 Source Code For the Course
7 Abstract Data Types
8 Running Time of an Algorithm and Big O Notation
9 Stack Data Structure (Java Practical) + HW
10 Stacks Continued
11 Queue Data Structure (Java Practical)
Linked Lists
12 Introduction to Linked Lists
13 Singly Linked List (Java Practical)
14 Circular Linked List (Java Practical)
15 Doubly Linked List – Part 1 + HW (Java Practical)
16 Doubly Linked List – Part 2
17 Doubly Linked List – Part 3 + HW (Java Practical)
Popular Searching Algorithms
18 Basic Linear Search
19 Binary Search (Overview)
20 Binary Search (Java Practical) + HW
21 Recursion in Java
22 Recursive Search (Java Practical) + HW
23 Big O Notation Part 2
Popular Sorting Algorithms
24 Selection Sort (Overview)
25 Quick Sort (Java Practical) + HW
26 Selection Sort (Java Practical) + HW
27 Insertion Sort (Overview)
28 Insertion Sort (Java Practical) + HW
29 Merge Sort (Overview)
30 Merge Sort Continued (The Merge Process)
31 Merge Sort (Java Practical) + HW
32 Quick Sort (Overview)
33 Quick Sort Continued
Binary Search Trees
34 Binary Search Tree Overview
35 Java Implementation of Binary Search Tree
36 Deleting a Node from Binary Search Tree
37 Java Implementation to Delete Node
38 Binary Search Tree – Odds and Ends
Heap Data Structure
39 Heaps Data Structure Overview
40 Java Implementation of Heap Data Structure
Hash Tables
41 Overview of Hash Tables
42 Hash Tables (Java Practical) + HW
Graphs
43 Graphs Overview + HW
44 Graphs (Java Practical) + Solution
45 Bonus Lecture Lifetime Access to All My Courses
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