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Master Coding Interview : Data Structures + Algorithms

 

Master Coding Interview :Data structures + Algorithms

Master Coding Interview :Data structures + Algorithms

Ultimate 36 Hour coding interview bootcamp. Get the job you want!

Rating: 4.9 out of 5

4.9  (73 ratings)

2,472 students

Created by Jackson Kailath

Last updated 03/2022

English


What you'll learn

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


Requirements

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


Enroll now


Description

Our Students Speak :


⭐️⭐️⭐️⭐️⭐️


The teacher has fantastic ability to transfer understanding of a concept not just pass along his knowledge of the concept.-Liam Bailes


⭐️⭐️⭐️⭐️⭐️


This course is excellent and a great method to learn about Data Structures and Algorithms. It's fantastic for learning how to solve problems and construct reasoning.-Parth


⭐️⭐️⭐️⭐️⭐️


Best course. Since Data structure is one of the basic subject for programming, this course provides an complete overview of all components of Data Structures. This course is very good for students at the beginner level who wants to know the fundamentals and advanced concepts of Data Structures and Algorithms.-Newton


⭐️⭐️⭐️⭐️⭐️


The course is really helpful, Must learn course while preparing for Tier 1 companies. Explains the concepts well and in an easily understandable way.-Dennis Paul


Many More ! Check the review section below.




ABOUT THE COURSE:


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 and Algorithms


Data Structures Introduction


Big O


DS: Arrays Crash Course


Coding Interview Q1: Sorted Squared Array


Coding Interview Q2: Monotonic Array


DAY 2: Arrays Data Structures and Algorithms


Coding Interview Q1: Rotate Array


Coding Interview Q2:Container with most Water


DAY 3: Hash Tables Data Structures and Algorithms


DS: Hash Tables Crash Course


Coding Interview Q1: Two Sum


Coding Interview Q2:Isomorphic Strings


DAY 4: Recursion Algorithms


Coding Interview Q1: Fibonacci


Coding Interview Q2:Power Sum


DAY 5: Recursion Algorithms


Coding Interview Q1: Permutations


Coding Interview Q2:Power Set


DAY 6: String Data Structures and Algorithms


DS: Strings Crash Course


Coding Interview Q1: Non repeating character


Coding Interview Q2: Palindrome


DAY 7: String Data Structures and Algorithms


Coding Interview Q1: Longest Unique char Substring


Coding Interview Q2: Group Anagrams


DAY 8: Searching Algorithms


Coding Interview Q1: Binary Search


Coding Interview Q2: Search in Rotated Sorted array


DAY 9: Searching Algorithms


Coding Interview Q1: Find First and Last Position of Element in Sorted Array


Coding Interview Q2: Search in 2D Array


DAY 10: Sorting Algorithms


Coding Interview Q1: Bubble Sort


Coding Interview Q2: Insertion Sort


DAY 11: Sorting Algorithms


Coding Interview Q1: Selection Sort


Coding Interview Q2: Merge Sort


DAY 12: Sorting Algorithms


Coding Interview Q1: Quick Sort


Coding Interview Q2: Radix Sort


DAY 13: Singly Linked List Data Structures and Algorithms


DS: Linked List Crash Course


Coding Interview Q1:  Construct SLL


Coding Interview Q2: delete duplicates


Day 14: Singly Linked List Data Structures and Algorithms


Coding Interview Q1:  Reverse SLL


Coding Interview Q2: Cycle Detection


DAY 15: Singly Linked List Data Structures and Algorithms


Coding Interview Q1: find duplicate number


Coding Interview Q2: Add 2 numbers


DAY 16: Doubly Linked List Data Structures and Algorithms


Coding Interview Q1: DLL remove insert


Coding Interview Q2: DLL remove all, insert at position


DAY 17: Stacks Data Structures and Algorithms


DS: Stacks Crash Course


Coding Interview Q1:  Construct Stack


Coding Interview Q2: Reverse Polish Notation


DAY 18: Queues Data Structures and Algorithms


DS: Queues Crash Course


Coding Interview Q1: Construct Queue


Coding Interview Q2: Implement Queue with Stack


DAY 19: Binary Tree and Binary Search Tree Data Structures and Algorithms


DS: Binary Tree, Binary Search Tree Crash Course


Coding Interview Q1: Construct BST


Coding Interview Q2: Traverse BST (Breadth first and Depth first - Inorder, Preorder,Post order)


DAY 20: Binary Tree and Binary Search Tree Data Structures and Algorithms


Coding Interview Q1: Level Order traversal


Coding Interview Q2: Left/Right View of binary tree


DAY 21: Binary Tree and Binary Search Tree Data Structures and Algorithms


Coding Interview Q1: Invert Binary Tree


Coding Interview Q2: Diameter of binary tree


DAY 22: Binary Tree and Binary Search Tree Data Structures and Algorithms


Coding Interview Q1: Convert Sorted Array to Binary Search Tree


Coding Interview Q2: Validate BST


DAY 23: Heaps and Priority Queue Data Structures and Algorithms


DS: Heaps Crash Course


Coding Interview Q1: Max Heap Construction


Coding Interview Q2: min Priority Queue Construction


DAY 24: Graphs Data Structures and Algorithms


DS: Graphs Crash Course


Coding Interview Q1:  BFS - Adj List and Adj Matrix


Coding Interview Q2: DFS - Iterative and Recursive


DAY 25: Graphs Data Structures and Algorithms


Coding Interview Q1: Number of connected components


Coding Interview Q2: 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)

Course content

25 sections • 254 lectures • 36h 7m total length


Instructor : Jackson Kailath

Teacher, Engineer, Product Manager, Entrepreneur

Jackson Kailath

4.6 Instructor Rating

2,838 Reviews

30,877 Students

14 Courses

Jackson is an Enterpreuner who loves to teach students and enjoys simplifying complex concepts to explain them in an easy to learn manner.  He has completed his Engineering and also done MBA from the Indian School of Business. He believes that a good teacher is one who can teach a subject in a structured manner so that students can form a mind map for the topic at hand automatically.


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