Data Structures Algorithms in Java – SECRETS to Ace LeetCode

About Data Structures Algorithms in Java – SECRETS to Ace LeetCode

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… 1. Graduate from a "_prestigious"_ university with an overpriced degree (which holds less weight than ever before)… 2. It’s too difficult to code 3. It’s too late to learn 4. 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

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through… 1.

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. 2.

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. 3.

Strings and String Builder -

We look into how it works internally, various operations, memory management, and some examples! 4.

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. 5.

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. 6.

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. 7.

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 8.

Recursion & Backtracking -

Covers an introduction to Backtracking, along with maze path problems. An important video for interviews covering complete theory + code + tips. 9.

Object Oriented Programming -

In this section you'll master OOP Concepts like never before. This Module contains 7 lectures crossing over

5 hrs!

10.

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. 11.

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. 12.

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.

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