Java Data Structures & Algorithms: Ace Coding Interviews!
Java Data Structures & Algorithms: Ace Coding Interviews!, available at $54.99, has an average rating of 4.69, with 126 lectures, 39 quizzes, based on 61 reviews, and has 8783 subscribers.
You will learn about Understand Data Structures and Algorithms & How to Implement and Use them in Java Understand Big O Notation and How to Calculate Space & Time Complexities Improve your Problem Solving Skills Enhance your Programming Skills Leetcode Challenges with Video Solutions Understand How to Decide When to Use a Specific Algorithm or Data Structure for Different Use Cases Ace Coding Interviews This course is ideal for individuals who are Java Programmers Who Want to Master Data Structures and Algorithms or Java Programmers Preparing for Coding Interviews or Java Programmers Who Want to Write More Efficient Code and Improve Their Problem-Solving Skills It is particularly useful for Java Programmers Who Want to Master Data Structures and Algorithms or Java Programmers Preparing for Coding Interviews or Java Programmers Who Want to Write More Efficient Code and Improve Their Problem-Solving Skills.
Enroll now: Java Data Structures & Algorithms: Ace Coding Interviews!
Summary
Title: Java Data Structures & Algorithms: Ace Coding Interviews!
Price: $54.99
Average Rating: 4.69
Number of Lectures: 126
Number of Quizzes: 39
Number of Published Lectures: 126
Number of Published Quizzes: 36
Number of Curriculum Items: 165
Number of Published Curriculum Objects: 162
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand Data Structures and Algorithms & How to Implement and Use them in Java
- Understand Big O Notation and How to Calculate Space & Time Complexities
- Improve your Problem Solving Skills
- Enhance your Programming Skills
- Leetcode Challenges with Video Solutions
- Understand How to Decide When to Use a Specific Algorithm or Data Structure for Different Use Cases
- Ace Coding Interviews
Who Should Attend
- Java Programmers Who Want to Master Data Structures and Algorithms
- Java Programmers Preparing for Coding Interviews
- Java Programmers Who Want to Write More Efficient Code and Improve Their Problem-Solving Skills
Target Audiences
- Java Programmers Who Want to Master Data Structures and Algorithms
- Java Programmers Preparing for Coding Interviews
- Java Programmers Who Want to Write More Efficient Code and Improve Their Problem-Solving Skills
Welcome to the Data Structures and Algorithms in Java Course!
Are you a Java programmer who wants to write efficient code and improve your programming and problem solving skills ?
Do you have an upcoming coding interview and you want to ace it with confidence ?
If the answer is yes, then this course is the right choice for you!
In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Java.
The concepts are explained with animations which makes it much more easier to understand and memorize.
You will also apply your knowledge throughout the course via coding exercises, real world use cases and Leetcode coding challengeswith video solutions.
The course covers the following topics:
General
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Why Should You Learn Data Structures and Algorithms ?
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What are Data Structures ?
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What are Algorithms ?
Big O Notation
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Linear Complexity – O(n)
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Constant Complexity – O(1)
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Quadratic Complexity – O(n^2)
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Logarithmic Complexity – O(logn)
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Constants in Big O
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Dominant and Non-Dominant Factors in Big O
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Complexities Comparison
Data Structures
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Linked Lists
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Doubly Linked Lists
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Stacks
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Queues
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Sets
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Trees
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Tries
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Heaps
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Hash Tables
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Graphs
Algorithms
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Linear Search
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Binary Search
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Bubble Sort
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Insertion Sort
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Selection Sort
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Merge Sort
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Recursion
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Tree Traversal
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Graph Traversal
I’m confident that you will enjoy this course, but if you for some reason are not happy with the course it’s backed by Udemy’s 30 day money back guarantee,so nothing to lose!
I’m excited to see you in the course, hit that enroll button and start your mastering Data Structures & Algorithmsjourney 🙂
Course Curriculum
Chapter 1: Introduction
Lecture 1: Why Should You Learn Data Structures and Algorithms ?
Lecture 2: What are Data Structures ?
Lecture 3: What are Algorithms ?
Chapter 2: Big O Notation
Lecture 1: Introduction to Big O Notation
Lecture 2: Linear Complexity – O(n)
Lecture 3: Constant Complexity – O(1)
Lecture 4: Quadratic Complexity – O(n^2)
Lecture 5: Logarithmic Complexity – O(logn)
Lecture 6: Constants in Big O
Lecture 7: Dominant and Non-Dominant Factors in Big O
Lecture 8: Complexities Comparison
Chapter 3: Big O Notation: Practical
Chapter 4: Linked Lists
Lecture 1: Introduction to Linked Lists
Lecture 2: Linked List Class Implementation
Lecture 3: Linked List: Add Element
Lecture 4: Linked List: Append Implementation
Lecture 5: Linked List: Prepend Implementation
Lecture 6: Linked List: Iterating
Lecture 7: Linked List: Iterating Implementation
Lecture 8: Linked List: Removing Elements
Lecture 9: Linked List: Removing Elements Implementation
Lecture 10: Time Complexity of Linked Lists Operations
Lecture 11: When to Use Linked Lists
Lecture 12: Linked List Use Case: Shopping Cart
Lecture 13: Java Built-In LinkedList Class
Chapter 5: Linked Lists: Practical
Lecture 1: (Video Solution) Music Playlist
Lecture 2: (Video Solution) Leetcode Challenge – Reverse Linked List
Chapter 6: Doubly Linked Lists
Lecture 1: Introduction to Doubly Linked Lists
Lecture 2: Doubly Linked List Class Implementation
Lecture 3: Doubly Linked List: Append Implementation
Lecture 4: Doubly Linked List: Prepend Implementation
Lecture 5: Doubly Linked List: Delete Implementation
Lecture 6: Doubly Linked List: Print Implementation
Lecture 7: Time Complexity of Doubly Linked Lists Operations
Lecture 8: Doubly Linked List Use Case: Text Cursor
Chapter 7: Doubly Linked Lists: Practical
Chapter 8: Stacks
Lecture 1: Introduction to Stacks
Lecture 2: Stack Implementation: Stack and Node Classes
Lecture 3: Stack Implementation: Push
Lecture 4: Stack Implementation: Pop & isEmpty
Lecture 5: Stack Use Case: Text Editor Undo Functionality
Lecture 6: Java Built-In Stack Class
Chapter 9: Stacks: Practical
Lecture 1: (Solution) Leetcode Challenge – Valid Parentheses
Chapter 10: Queues
Lecture 1: Introduction to Queues
Lecture 2: Queue Implementation: Queue and Node Classes
Lecture 3: Queue Implementation: Enqueue
Lecture 4: Queue Imeplementation: Dequeue
Lecture 5: Queue Use Case: Print Service
Lecture 6: Queue Interface in Java
Chapter 11: Queues: Practical
Lecture 1: (Solution) Leetcode Challenge – Implement Queue using Stacks
Chapter 12: Sets
Lecture 1: Introduction to Sets
Lecture 2: Creating and Initializing Sets
Lecture 3: Set's Methods and Operations
Lecture 4: Sets Big O
Lecture 5: Set Use Case: School Database
Chapter 13: Sets Practical
Chapter 14: Trees
Lecture 1: Introduction to Trees
Lecture 2: Binary Trees
Lecture 3: Complete Binary Trees
Lecture 4: Binary Search Trees
Lecture 5: Binary Search Trees: Insert Operation
Lecture 6: Binary Search Trees: Class Implementation
Lecture 7: Binary Search Trees: Insert Operation Implementation
Lecture 8: Binary Search Trees: Search Operation Implementation
Chapter 15: Trees: Practical
Lecture 1: (Solution) Leetcode Challenge – Search in a Binary Search Tree
Chapter 16: Heaps
Lecture 1: Introduction to Heaps
Lecture 2: Heaps: Insert
Lecture 3: Heaps: Pop
Lecture 4: Heap Implementation: Class and Helper Functions
Lecture 5: Heap Implementation: insert()
Lecture 6: Heap Implementation: remove()
Lecture 7: Heap Implementation: Heapify Down
Instructors
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Ahmed Elsakka
Software Engineer
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 24 votes
- 5 stars: 34 votes
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