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Data Structures | Algorithms:CODING INTERVIEW 25Days of Code

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MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 247 lectures (34h 53m) | Size: 12.5 GB

34 Hours | Big O | Javascript | Leetcode | DSA | Coding Interview | Data Structures | Algorithsm

34 Hours | Big O | Javascript | Leetcode | DSA | Coding Interview | Data Structures | Algorithsm

What you’ll learn
Common Data Structures such as Arrays, Hash Table,Linked List,Binary trees,Graphs etc.
Real Coding Interview Questions from Google, Meta,Amazon,Netflix ,Microsoft etc.
Time and Space Complexity of Algorithms, Detailed Discussion of Logic to solve questions
Code Implementation in Javascript

Requirements
Basic knowledge of Javascript or any other Programming language ( things like write a loop, function etc)

Description
Welcome to the Coding Interview Bootcamp!

Once you get an interview from a top tech company, the only thing that matters for you to get your dream Software Engineering role is your performance in the coding Interviews.

The only way to ace the coding interview is to take one problem at a time and really understand how to solve it and then do this for a lot of problems to get sufficient tools and techniques in your arsenal to face and conquer any coding interview. This is what my aim is for you with this course.

This course is structured as DAILY CODING CHALLENGES to give you a clear target for every day. By not missing a single day and by staying consistent you will have solved a variety of questions by the end of this course, getting you prepared for coding interviews and more practice on your own from Leetcode.

We start right from the basics and discuss Big O analysis and then move on to cover the common data structures and then discuss real life problems asked in Big Tech companies such as Google, Meta, Amazon, Netflix, Apple, Microsoft etc.

For Each Question we discuss

1. The Logic or the method by which we can approach this question in an optimal manner

2. The Time and Space complexity of the Solution

3. Code the Solution in Javascript ( You can follow along in any coding language of your choice)

This course also includes multiple downloadable resources, trackers to keep you motivated, and cheat sheets to make your coding interview prep smooth.

COURSE OUTLINE

DAY 1: Arrays

Data Structures Introduction

Big O

DS: Arrays Crash Course

Question 1: Sorted Squared Array

Question 2: Monotonic Array

DAY 2: Arrays

Question 1: Rotate Array

Question 2:Container with most Water

DAY 3: Hash Table

DS: Hash Tables Crash Course

Question 1: Two Sum

Question 2:Isomorphic Strings

DAY 4: Recursion

Question 1: Fibonacci

Question 2:Power Sum

DAY 5: Recursion

Question 1: Permutations

Question 2:Power Set

DAY 6: String

DS: Strings Crash Course

Question 1: Non repeating character

Question 2: Palindrome

DAY 7: String

Question 1: Longest Unique char Substring

Question 2: Group Anagrams

DAY 8: Searching

Question 1: Binary Search

Question 2: Search in Rotated Sorted array

DAY 9: Searching

Question 1: Find First and Last Position of Element in Sorted Array

Question 2: Search in 2D Array

DAY 10: Sorting

Question 1: Bubble Sort

Question 2: Insertion Sort

DAY 11: Sorting

Question 1: Selection Sort

Question 2: Merge Sort

DAY 12: Sorting

Question 1: Quick Sort

Question 2: Radix Sort

DAY 13: Singly Linked List

DS: Linked List Crash Course

Question 1: Construct SLL

Question 2: delete duplicates

Day 14: Singly Linked List

Question 1: Reverse SLL

Question 2: Cycle Detection

DAY 15: Singly Linked List

Question 1: find duplicate number

Question 2: Add 2 numbers

DAY 16: Doubly Linked List

Question 1: DLL remove insert

Question 2: DLL remove all, insert at position

DAY 17: Stacks

DS: Stacks Crash Course

Question 1: Construct Stack

Question 2: Reverse Polish Notation

DAY 18: Queues

DS: Queues Crash Course

Question 1: Construct Queue

Question 2: Implement Queue with Stack

DAY 19: Binary Tree and Binary Search Tree

DS: Binary Tree, Binary Search Tree Crash Course

Question 1: Construct BST

Question 2: Traverse BST (Breadth first and Depth first – Inorder, Preorder,Post order)

DAY 20: Binary Tree and Binary Search Tree

Question 1: Level Order traversal

Question 2: Left/Right View of binary tree

DAY 21: Binary Tree and Binary Search Tree

Question 1: Invert Binary Tree

Question 2: Diameter of binary tree

DAY 22: Binary Tree and Binary Search Tree

Question 1: Convert Sorted Array to Binary Search Tree

Question 2: Validate BST

DAY 23: Heaps and Priority Queue

DS: Heaps Crash Course

Question 1: Max Heap Construction

Question 2: min Priority Queue Construction

DAY 24: Graphs

DS: Graphs Crash Course

Question 1: BFS – Adj List and Adj Matrix

Question 2: DFS – Iterative and Recursive

DAY 25: Graphs

Question 1: Number of connected components

Question 2: Course Scheduler / Topological sort

I’m sure you’ll love this course and so we’re offering a full money-back guarantee for 30 days in case you are not sure at the moment!

Enroll today and see you inside the course !

Let’s make your dreams come true

– Jackson

Who this course is for
Students who are about to graduate and trying to get into top Tech companies as software engineers
Self taught programmers looking for their first job
Experienced developers wanting to get into MAANG companies ( top tech firms)


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