Master Data Structures and Algorithms for Big Tech Interviews (Part 3/4)
This course provides a comprehensive guide to mastering data structures and algorithms for big tech interviews. This course prepared depending on my real Software Engineer job interviews experiences with Google, Microsoft, Amazon, and Snapchat.
Algorithms and Data Structures Cheat Sheet
☞ https://morioh.com/p/7e092e886420
Data Structures and Algorithms in Python - Full Course
☞ https://morioh.com/p/7ae7f8c31bfd
Top 15 Data Structures and Algorithms Books for Every Developer
☞ https://morioh.com/p/319507354be2
In this course you will learn how to Analysis algorithms like Sorting, Searching, and Graph algorithms. And how to reduce the code complexity from one Big-O level to another level. Furthermore, you will learn different type of Data Structure for your code. Also you will learn how to find Big-O for every data structure, and how to apply correct Data Structure to your problem in Java. By the end you will be able to write code that run faster and use low memory. You Also will learn how to analysis problems using Dynamic programming.
We will discus code complexity in Different algorithms like Sorting algorithms ( Bubble, Merge, Heap, and quick sort) , searching algorithms ( Binary search, linear search, and Interpolation), Graph algorithms( Binary tree, DFS, BFS, Nearest Neighbor and Shortest path, Dijkstra’s Algorithm, and A* Algorithm). and Data Structure like Dynamic Array, Linked List, Stack, Queue, and Hash-Table. Learn now how to Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions. Learn now how to Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions.
#DataStructures #Algorithms #Morioh
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