The Complete Data Structures and Algorithms Course in Java

The Complete Data Structures and Algorithms Course in Java, available at $59.99, has an average rating of 4.6, with 185 lectures, based on 467 reviews, and has 60381 subscribers.

You will learn about Fundamentals of Data Structures and Algorithms Become Confident in Data Structures and Algorithms Learn, Implement and Use Different Data Structure Learn Popular Data Structures and Their Algorithms Master Algorithms including 7 Sorting Algorithms Become Confident in Algorithms Coding Interview This course is ideal for individuals who are Any one who wants to build strong foundation on data structures and algorithms or Anyone who wants to work at FAANG(Facebook, Apple, Amazon, Netflix, Google) Company or Any engineer, developer, programmer, who wants to improve their coding skills or Any self taught programmer who missed out on a computer science degree It is particularly useful for Any one who wants to build strong foundation on data structures and algorithms or Anyone who wants to work at FAANG(Facebook, Apple, Amazon, Netflix, Google) Company or Any engineer, developer, programmer, who wants to improve their coding skills or Any self taught programmer who missed out on a computer science degree.

Enroll now: The Complete Data Structures and Algorithms Course in Java

Summary

Title: The Complete Data Structures and Algorithms Course in Java

Price: $59.99

Average Rating: 4.6

Number of Lectures: 185

Number of Published Lectures: 179

Number of Curriculum Items: 185

Number of Published Curriculum Objects: 179

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Data Structures and Algorithms
Become Confident in Data Structures and Algorithms
Learn, Implement and Use Different Data Structure
Learn Popular Data Structures and Their Algorithms
Master Algorithms including 7 Sorting Algorithms
Become Confident in Algorithms Coding Interview

Who Should Attend

Any one who wants to build strong foundation on data structures and algorithms
Anyone who wants to work at FAANG(Facebook, Apple, Amazon, Netflix, Google) Company
Any engineer, developer, programmer, who wants to improve their coding skills
Any self taught programmer who missed out on a computer science degree

Target Audiences

Any one who wants to build strong foundation on data structures and algorithms
Anyone who wants to work at FAANG(Facebook, Apple, Amazon, Netflix, Google) Company
Any engineer, developer, programmer, who wants to improve their coding skills
Any self taught programmer who missed out on a computer science degree

Welcome to “Data Structures and Algorithms for Coding Interview” course.

Want to land a job at a great tech industry like Google, Microsoft, Facebook, Netflix, Amazon, or other industries but you are intimidated by the foundation of data structures and algorithms skills for the job?

Many programmers who are “self taught”, feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don’t have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews.

Here is what you will learn in this course:

>> Algorithm Run Time Analysis – Big O – O(n) Notation

>> Array (1D, 2D Array)

>> Linked List (All Types of Linked List)

>> StackData Structure

>> Queue Data Structure

>> Binary Tree (Array, Linked List Implementation, BFS/DFS Traversal and more)

>> Binary Search Tree

>> Binary Heap

>> AVL Tree

>> Trie Data Structure

>> Searching Algorithms

>> Recursion

>> Sorting Algorithms

>> Dynamic Programming

>> Hashing

>> Graph*

Unlike most instructors, I am not a marketer or a salesperson. I am a self taught programmer(I studied statistics not computer science) who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

Taking his experience in educational statistics and coding, Barik’s courses will take you on an understanding of complex subjects that you never thought.

We have 30 days money back guarantee, so nothing to lose here.

See you inside the courses!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Algorithm Run Time Analysis (Big O Notation)

Lecture 1: What is Algorithm Runtime Analysis

Lecture 2: Why should we learn algorithm run time analysis?

Lecture 3: Time Complexity Analysis Example #1

Lecture 4: Time Complexity Analysis Example #2

Chapter 3: Data Structure – Array

Lecture 1: What is an array & why we need an array

Lecture 2: Types of array

Lecture 3: How is an array represented in RAM

Lecture 4: Create a 1D Array

Lecture 5: Traverse 1D Array

Lecture 6: Get, Insert, Update & Delete Operations in 1D Array

Lecture 7: Searching Algorithms (Linear Search + Binary Search)

Lecture 8: Create a 2D Array

Lecture 9: Get, Insert & Update Operations in 2D Array

Lecture 10: Traverse 2D Array

Lecture 11: 1D Array Problem: Move Zeroes

Lecture 12: 1D Array Problem: Remove Duplicates from Sorted Array

Lecture 13: 2D Array Problem: Rotate Image

Lecture 14: 2D Array Problem: Spiral Matrix

Chapter 4: Data Structure – Linked List

Lecture 1: What is Linked List

Lecture 2: Different Types of Linked Lists

Lecture 3: Creation & Insertion Operations in SLL (Singly Linked List)

Lecture 4: Insertion (At Index, At Begining & At End) Operations in SSL(Singly LInked List)

Lecture 5: Travering & Searching in SLL (Singly Linked List)

Lecture 6: Deleting Node & Deleting Entire Linked List (Singly Linked List)

Lecture 7: Source Code for Singly Linked List (SLL)

Lecture 8: Creation & Insertion Operations in CSLL (Circular Singly Linked List)

Lecture 9: Traversing & Searching in CSLL (Circular Singly Linked List)

Lecture 10: Insertion in CSLL (Circular Singly Linked List)

Lecture 11: Deleting Node & Deleting Entire Linked List (Circular Singly Linked List)

Lecture 12: Source Code for Circular Singly Linked List (CSLL)

Lecture 13: Creation & Insertion Operations in DLL (Doubly Linked List)

Lecture 14: Traversing & Searching in DLL (Doubly Linked List)

Lecture 15: Insertion in DLL (Doubly LInked List)

Lecture 16: Deleting Node & Deleting Enire Linked List (Doubly Linked List)

Lecture 17: Source Code for Doubly Linked List (DLL)

Lecture 18: Creation & Insertion Operations in CDLL (Circular Doubly Linked LIst)

Lecture 19: Traversing & Searching in CDLL (Circular Doubly Linked List)

Lecture 20: Insertion in CDLL (Circular Doubly Linked List)

Lecture 21: Deleting Node & Deleting Entire Linked List (Circular Doubly Linked List)

Lecture 22: Source Code for Circular Doubly Linked List (CDLL)

Lecture 23: Linked List Problem: Reverse a Singly Linked List — Recursive Solution

Lecture 24: Linked List Problem: Reverse a Singly Linked List — Iterative Solution

Chapter 5: Data Structure – Stack

Lecture 1: What is Stack

Lecture 2: Stack Implementation Options

Lecture 3: Array – Create, Push & Pop

Lecture 4: Array – Peek, isEmpty, isFull & deleteStack

Lecture 5: Source Code — Stack Using Array

Lecture 6: Linked List – Create, Push & Pop

Lecture 7: Linked List – Peek, isEmpty, & deleteStack

Lecture 8: Source Code — Stack Using Linked List

Lecture 9: Stack Problem: Valid Parentheses

Lecture 10: Stack Problem: Decode String

Chapter 6: Data Structure – Queue

Lecture 1: What is Queue

Lecture 2: Queue Implementation Options

Lecture 3: Array – Linear Queue

Lecture 4: Source Code – Linear Queue Implementation using Array

Lecture 5: Array – Circular Queue

Lecture 6: Source Code – Circular Queue

Lecture 7: Linked List – Linear Queue

Lecture 8: Source Code – Linear Queue Implementation using LInked List

Chapter 7: Data Structure – Binary Tree

Lecture 1: What is Tree & Why should we learn tree

Lecture 2: Tree Terminologies :: Root, Leaf, Edge, Ancestor, … Depth of Tree ::

Lecture 3: Tree Terminologies :: Predecessor & Successor ::

Lecture 4: What is Binary Tree

Lecture 5: Types of Binary Tree

Lecture 6: How is Tree Represented :: Linked List & Array Representation ::

Lecture 7: Create Binary Tree & Insert Value :: Linked List Implementation ::

Lecture 8: Search for a Value in Binary Tree

Lecture 9: Delete Value from Binary Tree

Lecture 10: Delete Binary Tree

Lecture 11: Tree Traversal Techniques :: Inorder, Preorder & Postorder Traversal ::

Lecture 12: Preorder Traversal Details :: Recursive + Iterative ::

Lecture 13: Inorder Traversal Details :: Recursive + Iterative ::

Lecture 14: Postorder Traversal Details :: Recursive + Iterative ::

Lecture 15: Level Order Traversal Details :: Recursive + Iterative ::

Lecture 16: Source Code :: Implementation of Binary Tree Using Linked List ::

Lecture 17: Create Binary Tree & Insert Value :: Array Implementation ::

Lecture 18: Search for a Value in Binary Tree

Lecture 19: Delete Node from Binary Tree

Lecture 20: Delete Binary Tree

Lecture 21: Preorder Traversal

Lecture 22: Inorder Traversal

Lecture 23: Postorder Traversal

Lecture 24: Level order Traversal

Lecture 25: Source Code :: Implementation of Binary Tree Using Array ::

Chapter 8: Data Structure – Binary Search Tree (BST)

Lecture 1: What & Why is BST

Lecture 2: Creation & Insertion in BST

Lecture 3: Traversing BST

Lecture 4: Searching in BST

Lecture 5: Deletion Node in BST

Lecture 6: Deletion of BST

Instructors

Md. A. Barik
Software Engineer | Udemy Instructor

Rating Distribution

1 stars: 11 votes
2 stars: 13 votes
3 stars: 72 votes
4 stars: 155 votes
5 stars: 217 votes

Frequently Asked Questions

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

Can I take my courses with me wherever I go?

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