Master the Coding Interview: Big Tech (FAANG) Interviews | Udemy


Master the Coding Interview: Big Tech (FAANG) Interviews | Udemy
English | Size: 16.59 GB
Genre: eLearning

What you’ll learn
Ace the coding interview at the top tech companies (Google, Amazon, Facebook, Apple, Microsoft, Netflix + others)
Step by step guide to common questions, how to solve them, optimize, and present them during tech interview
The ultimate resource to prepare for coding interviews, tech interviews and programming interviews
Learn exactly what you need to answer difficult questions and the framework you need for ANY kind of questions they throw at you
Use the right Data Structures and Algorithms to pass coding interview questions that have the optimal solution
Become a better developer by mastering computer science fundamentals

Here is what you will learn to use in this course while answering the interview questions step by step with us:

—-Technical—-

1. Big O Notation

2. Data Structures Used:

* Arrays

* Hash Tables

* Singly linked lists

* Doubly linked lists

* Stacks

* Queues

* Binary Trees

* Binary Search Trees

* Tries

* N-ary Trees

* Min/Max Heaps

* Priority Queues

* 2-D Arrays/ Matrices

* Graphs

* Adjacency List

* Adjacency Matrix

* Interface Design

3. Algorithmic Paradigms Used:

* Recursion

* Sorting

* Searching

* Tree Traversals

* Graph Traversals

* Breadth First Search

* Depth First Search

* Divide and Conquer

* Greedy Method

* Dynamic Programming

* Backtracking

4. Specific Algorithms Used:

* Hoare’s Quickselect Algorithm

* Floyd’s Tortoise and Hare Cycle Detection Algorithm

* Bellman-Ford Algorithm

* Dijkstra’s Algorithm

* Topological Sort

Who this course is for:
Anyone that wants to work a Google, Amazon, Facebook, Microsoft, Apple, Netflix or other top tech companies
Any engineer, developer, programmer, who wants to improve their interviewing skills
Anyone interested in improving their whiteboard coding skills
Anyone who wants to become a better developer
Any self taught programmer who missed out on a computer science degree

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