Master Data Structures & Algorithms in Java to Ace LeetCode

Data Structures Algorithms in Java – SECRETS to Ace LeetCode

COMPLETE Beginner to Expert Guide to Ace Coding Interview THIS YEAR with DSA in Java EVEN WITH Zero Experience.

Created by : Rated :4.2 318 views

Last Updated: 2024-10-10 11:10:30 English Course Type: Self Learning

Learn various Popular Data Structures and their Algorithms.
Develop your Analytical skills on Data Structure and use then efficiently.
Ace coding interviews given by some of the top tech companies
Become a better developer by mastering computer science fundamentals
Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve LEETCODE questions
Code Implementation in Java
Real Coding Interview Questions from Google, Meta, Amazon, Adobe, Microsoft etc.
Learn Java from Scratch

COMPLETE Beginner to Expert Guide to Ace Coding Interview THIS YEAR with Data Structures & Algorithms in Java EVEN WITH Zero Experience.

Did you know that According to the U.S. Bureau of Labor and Statistics, developers will see job growth of 27% by 2024?

The problem is that everyone you know (your friends, family, professors, co-workers, etc) are LYING to you and most don’t even know it!

They tell you to…

Graduate from a "prestigious" university with an overpriced degree (which holds less weight than ever before)…

It’s too difficult to code

It’s too late to learn

You are not meant to code

This sounds pretty depressing, doesn’t it?

Yet, most people would succumb to other people’s opinions and would live a low quality life.

If you want more out of life, there is a better way.

Let me introduce you to The Amazing Escape Plan.

In this comprehensive, 3-in-1 course, you are going to Learn Java from scratch, understand core fundamentals of programming, solving Easy, Medium and Hard Level LeetCode Problems. You'll learn everything that you need to know to Crack Coding Interview rounds in your dream company starting THIS YEAR through…

Basics - We learn about the fundamentals of Java. How it works, the architecture, code execution, every single step in detail. We also cover the installation of tools that are required to write code in Java. We run our first Java program from scratch, providing a hands on demo of every step. We cover input and output in Java, data types, type conversion and casting, debugging, control flow, loops, and also solve a few problems.

Arrays and ArrayLists - We dive deep into how it works, the memory management, input/output, multidimensional arrays, dynamic arrays, working with functions, and solve some questions.

Strings and String Builder - We look into how it works internally, various operations, memory management, and some examples!

Searching Algorithms - We cover Linear Search & Binary Search in-depth. We cover the working, complexity analysis, code, and solve some LeetCode and FAANGM questions to strengthen the concepts.

Sorting Algorithms - In the sorting algorithm series, we cover Bubble sort, Selection sort, Insertion sort, Cycle Sort, Merge Sort in depth. We look at how the algorithm works, the complexity analysis, optimization, and code.

Pattern Questions - We'll look at how you can solve any coding patterns question in a step by step manner, and what the thought process should be like.

Time & Space Complexity - We'll go from beginner to advanced with “Time and Space Complexity Analysis”. We'll cover in-depth explanations of Big-O, Big-Omega, Theta and other notations

Recursion & Backtracking - Covers an introduction to Backtracking, along with maze path problems. An important video for interviews covering complete theory + code + tips.

Object Oriented Programming - In this section you'll master OOP Concepts like never before. This Module contains 7 lectures crossing over 5 hrs!

Linked Lists - One of the most important data structures for coding interviews. Here we also build the Linked List from scratch and see how it works internally! This module is also full of interview questions from Google, Facebook, Amazon, Microsoft, Apple, Twitter and LinkedIn ranging from LeetCode Easy to Hard.

Stacks and Queues - One of the most important data structures for coding interviews. Here we also build the data structures from scratch and see how it works internally. Along with the dynamic implementations, circular queues, exception handling and more.

Trees - One of the most important data structures for coding interviews. Here we also build the data structures from scratch and see how it works internally. Along with the Binary Trees, Binary Search Trees and Solving LeetCode Problems.

No coding or Data Structure and Algorithm knowledge needed! We'll start from scratch!
A computer (Windows/Mac/Linux) with access to the internet. That's it!
All tools and software used in this course will be free!

Any engineer, developer, programmer, who wants to improve their coding skills

Section 1 : Introduction 4 Lectures 02:24:31
Lecture 1 :
Introduction to Programming languages Preview
Lecture 2 :
Flow of Program - Flowcharts & Pseudocode
Lecture 3 :
Introduction to Java - Installation & Architecture
Lecture 4 :
Basics of Java - Input/Output, Debugging and Datatypes
Section 2 : Conditionals & Loops 1 Lectures 00:52:23
Lecture 1 :
Conditionals & Loops
Section 3 : Switch Case 1 Lectures 00:34:22
Lecture 1 :
Switch Case
Section 4 : Functions or Methods in Java 1 Lectures 00:56:17
Lecture 1 :
Functions Or Methods In Java
Section 5 : Introduction to Arrays and ArrayList in Java 5 Lectures 01:21:28
Lecture 1 :
Arrays
Lecture 2 :
Multidimensional Arrays a.k.a 2D Arrays
Lecture 3 :
Arraylist
Lecture 4 :
Swapping Arrays (LeetCode Problem)
Lecture 5 :
Maximum value in the Array (LeetCode Problem)
Section 6 : Strings and StringBuilders 1 Lectures 00:52:49
Lecture 1 :
Strings and StringBuilders
Section 7 : Bitwise Operators & Number Systems 6 Lectures 01:19:00
Lecture 1 :
Number Systems
Lecture 2 :
Bitwise Operators
Lecture 3 :
Odd Or Even
Lecture 4 :
Finding Unique Elements In Array
Lecture 5 :
Find, Set, Reset Bits
Lecture 6 :
Negative Binary numbers and Range of numbers
Section 8 : Linear Search Algorithm 6 Lectures 01:10:45
Lecture 1 :
Linear Search
Lecture 2 :
Search In String
Lecture 3 :
Search In Given Range
Lecture 4 :
Search Minimum Value In Array
Lecture 5 :
Search In 2D Array
Lecture 6 :
Leetcode Problem
Section 9 : Binary Search Algorithm 6 Lectures 02:32:34
Lecture 1 :
Binary Search Algorithm
Lecture 2 :
Order Agnostic Binary Search
Lecture 3 :
Ceiling Of A Number
Lecture 4 :
Floor Of A Number
Lecture 5 :
First And Last Occurance Of Target
Lecture 6 :
Search In 2D Array
Section 10 : Bubble Sort Algorithm 1 Lectures 00:43:57
Lecture 1 :
Bubble Sort Algorithm
Section 11 : Selection Sort Algorithm 1 Lectures 00:23:48
Lecture 1 :
Selection Sort
Section 12 : Insertion Sort Algorithm 1 Lectures 00:27:50
Lecture 1 :
Insertion Sort
Section 13 : Cycle Sort Algorithm 7 Lectures 01:53:49
Lecture 1 :
Cycle Sort Algorithm
Lecture 2 :
Missing Number (LeetCode Problem)
Lecture 3 :
Finding Disappeared number (LeetCode Problem)
Lecture 4 :
Finding Duplicate number (LeetCode Problem)
Lecture 5 :
Find All duplicate numbers (LeetCode Problem)
Lecture 6 :
Set Mismatch (LeetCode Problem)
Lecture 7 :
First Missing Positive (LeetCode Problem)
Section 14 : Pattern Questions 1 Lectures 00:35:53
Lecture 1 :
Pattern Questions
Section 15 : TIme & Space Complexity 5 Lectures 00:53:04
Lecture 1 :
Introduction to Time Complexity
Lecture 2 :
Big Oh, Omega, Theta Notation
Lecture 3 :
Little Oh, Omega Notation
Lecture 4 :
Introduction to Space Complexity
Lecture 5 :
Determing Time Complexity Of A Problem
Section 16 : Maths For Data Structures & Algorithm 5 Lectures 01:24:48
Lecture 1 :
Prime Numbers
Lecture 2 :
Seive Of Eratosthenes
Lecture 3 :
Square root of a number
Lecture 4 :
Newton Raphson Method
Lecture 5 :
Factors Of A Number
Section 17 : Recursion Deep Dive 14 Lectures 07:09:45
Lecture 1 :
Introduction To Recursion
Lecture 2 :
Fibonacci Number
Lecture 3 :
Binary Search Using Recursion
Lecture 4 :
Solving Basic Questions Using Recursion
Lecture 5 :
Solving Array Questions Using Recursion
Lecture 6 :
Solving Pattern Questions Using Recursion
Lecture 7 :
Bubble Sort Using Recursion
Lecture 8 :
Selection Sort Using Recursion
Lecture 9 :
Merge Sort Using Recursion
Lecture 10 :
Quick Sort Using Recursion
Lecture 11 :
Strings, Subsets, Sub Sequence using Recursion
Lecture 12 :
Permutations Using Recursion
Lecture 13 :
Google and Amazon level problem on Recursion
Lecture 14 :
Maze Problems
Section 18 : Backtracking 2 Lectures 01:18:34
Lecture 1 :
Backtracking
Lecture 2 :
Soduku Solver (Leetcode)
Section 19 : Object Oriented Programming - Learn in the Best Way 7 Lectures 05:26:35
Lecture 1 :
Classes and Objects
Lecture 2 :
Packages and 'Static' Keyword
Lecture 3 :
Inheritance, Encapsulation, Polymorphism
Lecture 4 :
Access Specifier, In-built Methods
Lecture 5 :
Interfaces and Abstract Methods
Lecture 6 :
Exception Handling, ArrayList Implementation
Lecture 7 :
Java Collections Framework
Section 20 : Linked List 9 Lectures 03:39:23
Lecture 1 :
Singly, Doubly And Circular Linked List
Lecture 2 :
Insert node in Linked List using Recursion
Lecture 3 :
Removing Duplicates from Linked List
Lecture 4 :
Merge 2 sorted Lists (LeetCode Problem)
Lecture 5 :
Linked List Cycle (Leetcode Problem)
Lecture 6 :
Happy Number (Linked List)
Lecture 7 :
Middle of Linked List (LeetCode Problem)
Lecture 8 :
Sort List (LeetCode Problem)
Lecture 9 :
Reversing Linked List
Section 21 : Stack & Queues 2 Lectures 01:18:38
Lecture 1 :
Stacks, Customstack, Dynamic Stacks
Lecture 2 :
Queues, CustomQueue, Circular Queues
Section 22 : Binary Trees 6 Lectures 01:52:51
Lecture 1 :
Binary Trees
Lecture 2 :
Count Number Of Nodes In Binary Tree
Lecture 3 :
Sum Of Nodes In Binary Tree
Lecture 4 :
Height Of Tree
Lecture 5 :
Diameter Of A Tree
Lecture 6 :
Subtree of a tree (LeetCode Problem)
Section 23 : Binary Search Trees 1 Lectures 00:56:03
Lecture 1 :
Binary Search Tree

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