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Practical Data Structures & Algorithms in Java + HW

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Practical Data Structures & Algorithms in Java + HW, available at $79.99, has an average rating of 4.4, with 47 lectures, based on 5626 reviews, and has 29697 subscribers.

You will learn about 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 This course is ideal for individuals who are If you're fed up with academia centric courses on Data Structures & Algorithms and want to intuitively & practically understand how to implement and the most popular algorithms and data structures in software or If you don't like math and want to learn popular data structures and algorithms at a deep level It is particularly useful for If you're fed up with academia centric courses on Data Structures & Algorithms and want to intuitively & practically understand how to implement and the most popular algorithms and data structures in software or If you don't like math and want to learn popular data structures and algorithms at a deep level.

Enroll now: Practical Data Structures & Algorithms in Java + HW

Summary

Title: Practical Data Structures & Algorithms in Java + HW

Price: $79.99

Average Rating: 4.4

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • If you're fed up with academia centric courses on Data Structures & Algorithms and want to intuitively & practically understand how to implement and the most popular algorithms and data structures in software
  • If you don't like math and want to learn popular data structures and algorithms at a deep level

Target Audiences

  • If you're fed up with academia centric courses on Data Structures & Algorithms and want to intuitively & practically understand how to implement and the most popular algorithms and data structures in software
  • If you don't like math and want to learn popular data structures and algorithms at a deep level

LAST UPDATED: November 2023

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Overview (Watch this First!)

Lecture 2: Join our Online Community (Discord)

Chapter 2: Prerequisite: Intro to Object Oriented Programming

Lecture 1: Intro to OOP Class & Object

Lecture 2: Program Flow and Using the Constructor

Lecture 3: Application Runtime

Lecture 4: Java Behind The Scenes

Lecture 5: Dedicated TA Support

Chapter 3: Basic Data Structures

Lecture 1: Source Code For the Course

Lecture 2: Abstract Data Types

Lecture 3: Running Time of an Algorithm and Big O Notation

Lecture 4: Stack Data Structure (Java Practical) + HW

Lecture 5: Stacks Continued

Lecture 6: Queue Data Structure (Java Practical)

Chapter 4: Linked Lists

Lecture 1: Introduction to Linked Lists

Lecture 2: Singly Linked List (Java Practical)

Lecture 3: Circular Linked List (Java Practical)

Lecture 4: Doubly Linked List – Part 1 + HW (Java Practical)

Lecture 5: Doubly Linked List – Part 2

Lecture 6: Doubly Linked List – Part 3 + HW (Java Practical)

Chapter 5: Popular Searching Algorithms

Lecture 1: Basic Linear Search

Lecture 2: Binary Search (Overview)

Lecture 3: Binary Search (Java Practical) + HW

Lecture 4: Recursion in Java

Lecture 5: Recursive Search (Java Practical) + HW

Lecture 6: Big O Notation Part 2

Chapter 6: Popular Sorting Algorithms

Lecture 1: Selection Sort (Overview)

Lecture 2: Selection Sort (Java Practical) + HW

Lecture 3: Insertion Sort (Overview)

Lecture 4: Insertion Sort (Java Practical) + HW

Lecture 5: Merge Sort (Overview)

Lecture 6: Merge Sort Continued (The Merge Process)

Lecture 7: Merge Sort (Java Practical) + HW

Lecture 8: Quick Sort (Overview)

Lecture 9: Quick Sort Continued

Lecture 10: Quick Sort (Java Practical) + HW

Chapter 7: Binary Search Trees

Lecture 1: Binary Search Tree Overview

Lecture 2: Java Implementation of Binary Search Tree

Lecture 3: Deleting a Node from Binary Search Tree

Lecture 4: Java Implementation to Delete Node

Lecture 5: Binary Search Tree – Odds and Ends

Chapter 8: Heap Data Structure

Lecture 1: Heaps Data Structure Overview

Lecture 2: Java Implementation of Heap Data Structure

Chapter 9: Hash Tables

Lecture 1: Overview of Hash Tables

Lecture 2: Hash Tables (Java Practical) + HW

Chapter 10: Graphs

Lecture 1: Graphs Overview + HW

Lecture 2: Graphs (Java Practical) + Solution

Chapter 11: Course Extras!

Lecture 1: Bonus Lecture

Instructors

Rating Distribution

  • 1 stars: 52 votes
  • 2 stars: 77 votes
  • 3 stars: 467 votes
  • 4 stars: 1918 votes
  • 5 stars: 3112 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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