Udemy - Data Structure and Algorithms Analysis – Job Interview


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Torrent Hash : 17D99C232A98A74A3EAB8F6112FF1E4EB80AA974
Torrent Added : 1 Year+ in Other - Other
Torrent Size : 923.62 MB


Udemy - Data Structure and Algorithms Analysis – Job Interview
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Torrent File Content (4 files)


Data Structure and Algorithms Analysis - Job Interview
     TutsGalaxy.com.txt -
41 bytes

     Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt -
59 bytes

     Read Me.txt -
80 bytes

     Data Structure and Algorithms Analysis - Job Interview.zip -
923.62 MB



Description



Miscellaneous

Description

This course prepared depending on my real job interviews experiences with Google, Microsoft, Amazon, and Snapchat.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
Who is the target audience?

Studends who are interested in writing code that run faster and use less memory
People who want to apply for job as software engineer or software developer

Requirements

No previous programming experience is required! I will give you free Java course if you do not have programming experiences with any programming languages
You will need a computer running Microsoft Windows, or Linux, or a Mac running OS X.

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