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Coding Interview :Data Structures + Algorithms | Javascript Download Free

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36 hours coding interview preparation | 25 days of preparation for coding interview Data structure + algorithm for coding interview

What you will learn

  • General data structures such as arrays, hash tables, linked lists, binary trees, graphs, etc.
  • Real coding interview questions from Google, Meta, Amazon, Netflix, Microsoft, etc.
  • The complexity of the algorithm’s time and space, the detailed discussion of logic to solve questions
  • Code implementation in JavaScript

needs

  • Basic knowledge of JavaScript or any other programming language (things like loop writing, function etc.)

Description

Welcome to Coding Interview Boot Camp!

Once you have an interview with a high tech company, the only thing that matters to you in getting your dream software engineering role is your performance in coding interviews.

The only way to summarize a coding interview is to take one problem at a time and really understand how to solve it and then do it for many problems so that you have enough tools and techniques in your arsenal so that someone Coding interviews can also be encountered. That is my goal for you with this course.

This course is designed as a daily coding challenge to give you a clear goal for each day. By not wasting a single day and staying consistent, you will have solved many questions by the end of this course, preparing you for coding interviews and practicing Leetcode on your own.

We start with the basics and discuss Big O Analytics and then move on to covering the general data structure and then to the big tech companies like Google, Meta, Amazon, Netflix, Apple, Microsoft etc. Talk about real life issues.

For each question we discuss:

1. The logic or the method by which we can best see this question.

2. Complexity of time and place of solution

3. Code the solution in JavaScript (you can follow in any coding language of your choice)

This course also includes numerous downloadable resources, trackers to keep you motivated, and chat sheets to help you prepare for your coding interview.

Outline of course

  • Day 1: Rows Introduction to Data Structures and Algorithm Data Structures Big ODS: Arrays Crash CourseCoding Interview Q1: Sorted Squared ArrayCoding Interview Q2: Monotonic Array
  • DAY 2: Arrays Data Structures and AlgorithmsCoding Interview Q1: Rotate ArrayCoding Interview Q2: Mostly Water Container
  • Day 3: Hash Tables Data Structures and Algorithms DS: Hash Tables Crash Course Coding Interview Q1: Two SIM Coding Interview Q2: Isomorphic Strings
  • DAY 4: Recursion AlgorithmsCoding Interview Q1: FibonacciCoding Interview Q2: Power Sum
  • DAY 5: Recursion AlgorithmsCoding Interview Q1: PermutationsCoding Interview Q2: Power Set
  • Day 6: String Data Structures and Algorithms DS: Strings Crash Course Coding Interview Q1: Non-Repetitive Character Coding Interview Q2: Palendrome
  • Day 7: String Data Structures and Algorithm Coding Interview Q1: The Longest Unique Four Substring Coding Interview Q2: Group Anagrams
  • Day 8: AlgorithmsCoding Interview Search Q1: Binary SearchCoding Interview Q2: Search in Rotated Sorted array
  • Day 9: Algorithm Coding Interview Search Q1: Configure ArrayCoding Find the first and last position of the element in the interview Q2: 2D Search in array
  • Day 10: Algorithm Configuration Coding Interview Q1: Bubble Configuration Coding Interview Q2: Enrollment Configuration
  • Day 11: Algorithm Coding Interview Sort Q1: Selection Sequence Coding Interview Q2: Integrate Sequence
  • Day 12: Algorithm Configuration Coding Interview Q1: Quick Configuration Coding Interview Q2: Radix Sort
  • Day 13: Single LinkedIn List Data Structures and Algorithms DS: LinkedIn Crash Course Coding Interview Q1: Construct SLL Coding Interview Q2: Delete Duplicates
  • Day 14: Single Linked List Data Structures and Algorithm Coding Interview Q1: Reverse SLLCoding Interview Q2: Cycle Detection
  • Day 15: Single Linked List Data Structures and Algorithms Coding Interview Q1: Find Duplicate Numbers Coding Interview Q2: Add 2 Numbers
  • Day 16: Double LinkedIn Data Structures and Algorithm Coding Interview Q1: Remove DLL insertCoding Interview Q2: Remove DLL all, enter position
  • DAY 17: Stacks Data Structures and AlgorithmsDS: Stacks Crash CourseCoding Interview Q1: Construct StackCoding Interview Q2: Reverse Polish Notation
  • Day 18: Row Data Structure and Algorithm DS: Row Crash Course Coding Interview Q1: QueueCoding Interview Configuration Q2: Apply Row with Stack
  • Day 19: Binary Tree and Binary Search Tree Data Structures and Algorithms DS: Binary Tree, Binary Search Tree Crash Course Coding Interviews )
  • Day 20: Binary Tree and Binary Search Tree Data Structures and Algorithm Coding Interview Q1: Level Order Traversal Coding Interview Q2: Left / Right View of the Binary Tree
  • Day 21: Binary Tree and Binary Search Tree Data Structures and Algorithm Coding Interview Q1: Invert Binary TreeCoding Interview Q2: Diameter of Binary Tree
  • Day 22: Binary Tree and Binary Search Tree Data Structures and Algorithm Coding Interview Q1: Convert the sorted row to Binary Search Tree Coding Interview Q2: Verify BST
  • Day 23: Haps and Priority Row Data Structures and Algorithms DS: Haps Crash Course Coding Interview Q1: Max Hep Construction Coding Interview Q2: Minimum Priority Row Construction
  • Day 24: Graphics Data Structures and Algorithms DS: Graphics Crash Course Coding Interview Q1: BFS – Adj List and Adj MatrixCoding Interview Q2: DFS – Repetitive and Repetitive
  • DAY 25: Graphics Data Structures and Algorithm Coding Interview Q1: Number of Connected Components Coding Interview Q2: Course Scheduler / Topological Layout

I am sure you will like this course and so we offer a full 30 day money back guarantee if you are not sure right now!

Enroll today and join the course!

Let’s make your dreams come true

– Jackson

Who is this course for:

  • Students who are about to graduate and are trying to get into top tech companies as software engineers.
  • Self-taught programmers are looking for their first job.
  • Experienced developers who want to go into MAANG companies (top tech firm)

Created by Jackson Kelath.
Last updated on 3/2022.
English
English [Auto]

Size: 12.24 GB

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