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Practical Data Structures & Algorithms in Java + HW

Name: Practical Data Structures & Algorithms in Java + HW
Rating: 4.5 (5677 reviews)

Go from zero to hero in the most important algorithms and data structures using Java

Role Play

Created byJob Ready Programmer

Last updated 11/2025

English

German [Auto],English [Auto],

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

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

18 sections • 58 lectures • 13h 44m total length

Course Overview (Watch this First!)4:23
Discover practical data structures and algorithms in Java through hands-on practice, covering object-oriented basics, stacks, queues, linked lists, and key sorting and searching algorithms with real coding challenges.
Join our Online Community (Discord)0:48
Dedicated TA Support1:39
Access a dedicated ta and course q&a for answers typically within 24 hours, and use stackoverflow.com for fast, crowd-sourced solutions on java topics such as loading classes in eclipse.
Source Code For the Course0:56

Quick Note: Upcoming Java Lectures0:18
Intro to OOP Class & Object12:35
Master object oriented programming by building a human class with attributes and behaviors, using a constructor to create objects, and running the Java example in Eclipse.
Program Flow and Using the Constructor11:40
Create and instantiate multiple objects using the constructor, set fields with new values, and explore the this keyword while learning how constructors initialize object state and behavior.
Application Runtime11:05
Demonstrates an animal class with age, gender attributes and behaviors, using a constructor to instantiate objects, and a zoo class; explains classes as blueprints and objects as runtime entities.
Java Behind The Scenes24:07
Demystify how Java programs run by exploring objects, classes, heap and stack, the main method, and garbage collection, plus local, reference, and instance variables.

Quick Note: Upcoming Java Lectures0:39
Working with Arrays16:13
Learn how arrays store multiple elements in fixed-size slots, initialize a 100-slot integer or double array, and access elements via zero-based indices.
Introduction to Collections24:36
Explore the Java collections framework, focusing on ArrayList and LinkedList, and learn how generics enforce type safety by using parameterization and wrapper types for primitives.
Traversing Lists and Custom Types20:29
Explore traversing lists in Java using ArrayList and LinkedList, iterating with for and for-each loops, working with custom types like Vehicle, and leveraging the List interface.
HashSet and LinkedHashSet with Hashcode18:36
Discover how hash set and linked hash set enforce uniqueness, prevent duplicates, and manage insertion order in Java, and see why overriding equals and hashCode matters for user defined objects.
Collection Methods and Using the Comparable Interface20:51
Master collection methods such as add all, remove all, contains, clear, is empty, retain all, and converting a hash set to a list, plus sorting with comparable interface.
HashMap, LinkedHashMap and TreeMap16:19
Explore hash map, linked hash map, and tree map in Java, using put, get, keySet, and entrySet to manage key-value pairs, observe insertion and natural ordering, and avoid duplicates.

Abstract Data Types10:23
Explore abstract data types in Java as trustworthy container objects built from classes, exposing a public API with increment, get current value, and to string.
Running Time of an Algorithm and Big O Notation17:43
Explore how algorithms scale with input size, distinguish linear, constant, quadratic, and cubic time, and learn big o notation and asymptotic growth to analyze Java algorithms.
Stack Data Structure (Java Practical) + HW19:28
Learn the stack data structure in Java, implementing push and pop with a top index to enforce last in, first out, and use isFull and isEmpty for safe bounds.
Stacks Continued5:35
Learn how to implement a stack to reverse a string using push and pop, demonstrating last in, first out behavior, and apply stacks to parse parentheses in expressions.
Using Stack from the Java Collections Framework1:37
Queue Data Structure (Java Practical)18:17
Explore the queue data structure built on an array, implementing insert, remove, peek, and circular queue behavior with front and rear pointers for first-in, first-out ordering (fifo).
Using Queue from the Java Collections Framework0:45

Introduction to Linked Lists18:31
Learn how linked lists store a collection of items using nodes with int data and a next reference, overcoming fixed-size arrays and enabling dynamic insertion and traversal.
Singly Linked List (Java Practical)19:37
Explore singly linked lists in Java by building a self-referential node-based data structure, implementing insert first, insert last, delete first, and display, and compare with arrays.
Circular Linked List (Java Practical)11:00
Implement a circular linked list in Java by adding a last pointer to enable end insertions, while managing first and last references, and supporting insert first, delete first, and display.
Doubly Linked List - Part 1 + HW (Java Practical)17:23
Explore the doubly linked list in Java, featuring a previous pointer and first/last references, enabling insertions and deletions. Implement insert first, insert last, and delete first while studying reference variables.
Doubly Linked List - Part 212:39
learn to delete last node in a doubly linked list, including single-node and multi-node cases, update last and previous pointers, and implement insert after by key and delete by key.
Doubly Linked List - Part 3 + HW (Java Practical)7:55
Learn to implement a part 3 doubly linked list in Java, including delete by key, update of first and last pointers, and display forward and backward, with testing in main.

Basic Linear Search9:07
Explore popular searching and sorting algorithms like binary search, merge sort, and quicksort, and learn to translate pseudocode into Java, covering linear search and stacks, queues, and linked lists.
Binary Search (Overview)13:07
Learn binary search, a divide-and-conquer algorithm for sorted data. See how to implement it in Java from pseudocode, returning the index or -1 when not found.
Binary Search (Java Practical) + HW7:56
Implement the binary search algorithm in Java, creating a static method that returns the index of a target value in an array or -1 if not found.
Recursion in Java18:48
Recursive Search (Java Practical) + HW19:53
Practice recursive search techniques in Java, implementing recursive linear search and recursive binary search on arrays, with focus on base cases, midpoints, and not found results.
Big O Notation Part 226:08
Explore deeper algorithm analysis by examining big O growth across constant, linear, quadratic, and cubic cases, and learn why logarithmic time, via binary search, dominates worst-case performance.

Requirements

The basics of programming such as if/else statements, loops & methods in some programming language

Description

Welcome to Practical Data Structures & Algorithms in Java + Homeworks Course!

Are you a beginner eager to master Data Structures and Algorithms in Java?

Do you want to confidently tackle coding interviews or enhance your programming skills?

Have you struggled with understanding how data structures work under the hood or how to apply algorithms in real-world scenarios?

Are you seeking a structured, hands-on course that combines theory, implementation, and real-life applications?

If you answered yes to any of these questions, you’re in the right place.

This course is meticulously designed to provide a step-by-step approach, demystifying Data Structures and Algorithms while preparing you for practical programming challenges and career advancement.

What Makes This Course Stand Out?

Comprehensive and Structured Content: Start from the basics and progress to advanced topics, with each concept logically and clearly explained.
Learn by Doing: Gain hands-on experience through practical assignments and real-life examples for every data structure and algorithm covered.
Beginner-Friendly: New to programming or Java? No worries! This course is designed to guide you from the ground up.
Deep Understanding: Go beyond surface-level knowledge to truly grasp how data structures and algorithms work under the hood.
Career-Ready Skills: Equip yourself with in-demand knowledge to ace technical interviews and write efficient, elegant code.
Homework with Solutions: Every assignment includes step-by-step solution videos to reinforce your learning.

Why This Course Is Essential:

Data Structures and Algorithms are the cornerstone of programming. By mastering them, you’ll unlock the ability to design optimized solutions, solve complex problems, and boost your programming confidence. This course bridges the gap between theory and practice, ensuring you’re job-ready and technically proficient.

Latest Course Updates:

(2025): Added beginner-friendly coding exercises on Array, Stack, Queue and Linked Lists.
(Dec 2024): Added a new coding exercise with step-by-step solutions for Hash Table.
(Nov 2024): Maintained and updated all course coding files, exercises and solutions in GitHub repository.
(Oct 2024): Added a comprehensive coding exercises on Linked List & Array and supplementary reading material.
(Sept 2024): Added NEW CONTENT on the Collections Framework and new coding exercise on Queue data structure.
(2023): Enhanced the course with improved online community support to help students collaborate and resolve queries efficiently.

Important Announcement: This course will be constantly updated with more assignments, quizzes, and lectures to enrich your knowledge of data structures and algorithms.

Topics covered in the Practical Data Structures & Algorithms in Java Course:

Intro to Object-Oriented Programming in Java
- Classes and Objects
- Program Flow and Constructor
- Application Runtime
- Java behind-the-scenes
The Collections Framework
- Lists and Custom Types
- HashSet, LinkedHashSet and Hashcode
- Collection Methods
- Comparable Interface
- HashMap, LinkedHashMap and TreeMap
Running Time of an Algorithm and Big O Notation
Array
Stack
Queue
Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
Binary Search Trees
Heap
Hash Tables
Graph
Searching Algorithms
- Linear Search
- Binary Search
- Recursive Search
Sorting Algorithms
- Selection Sort
- Quick Sort
- Merge Sort
- Insertion Sort
Recursion

KEY BENEFITS OF DATA STRUCTURES AND ALGORITHMS MASTERY

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.

STUDENT REVIEWS

Don’t just take it from me, take it from other students that have taken this course.

★★★★★ Here’s some testimonials from students that took this course ★★★★★

"Explanations are just amazing. It cant get simpler than this. Thanks for creating this course." - Suman

"This has to be the best money I've spent on an online course. This course completely demystifies data structures and algorithms. Originally, I had feared learning the topic because of how notoriously "difficult" it is to grasp. But I promise you this isn't just another fancy online Ivy League course that uses a bunch of fancy terms without explaining anything. Imtiaz does an EXCELLENT job of explaining all the data structures and algorithms by starting from the VERY fundamentals of Java. I promise you will gain foundational knowledge of DS&A by taking this course. I cannot thank Imtiaz enough for making such a great course, honestly!" - Daniel

"This course was exactly what I am looking for to improve my data structure skills. I do not have a computer science degree. However, I want to become a great software developer and I have been finding it difficult to understand data structure until I enrolled in this course." - Emmanuel

"I like the lots of homework and assignments in this course, because even for a well experienced software engineer it is fun to implement these algorithms." - AU

"I appreciate the whiteboard explanations because it helped me visualize how the algorithms work and the instructor was able to describe it clearly as well." - Nova

"I really enjoyed the course and learned a lot. I can really recommend this course. Imtiaz have the ability to explain complex topics in a logical and easy way, that make understand easier. I also like that he contentiously encourage is students to work through issues on their own." - Jaco

"Awesome. His way of explaining things and presenting data is awesome. I recommend this course to all experienced, new joinee employees as well as comp science / IT students." - Sumeet

Why wait? Take your programming skills to the next level and start mastering Data Structures and Algorithms today!

Who this course is 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
If you don't like math and want to learn popular data structures and algorithms at a deep level

Practical Data Structures & Algorithms in Java + HW

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction4 lectures • 8min

Prerequisite: Intro to Object Oriented Programming5 lectures • 1hr

Prerequisite: The Collections Framework7 lectures • 1hr 58min

Basic Data Structures: Array, Stack & Queue7 lectures • 1hr 14min

Arrays HW: Exercises0

Stacks HW: Exercises0

Queues HW: Exercises0

Linked Lists6 lectures • 1hr 27min

Linked Lists HW: Exercises0

Popular Searching Algorithms6 lectures • 1hr 35min

Requirements

Description

Who this course is for: