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Data Structure and Algorithms Analysis – Job Interview

Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions

Beginner 0(0 Ratings) 1 Students enrolled
Created by Editiorial Team Last updated Thu, 28-May-2020 English

SEMrush

Data Structure and Algorithms Analysis – Job Interview Free Tutorial Download

What will i learn?
  • Write code that run faster, and use less memory
  • Learn Data Structure and how to apply these Data Structures on problems in Java
  • Solve coding questions have been seen in Google, Apple, Microsoft, and Amazon job interview.
  • Learn algorithms analysis and implementation.

Curriculum for this course
1 Lessons 00:00:00 Hours
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1 Lessons 00:00:00 Hours
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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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Description

This course prepared depending on my real Software Engineer 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 this course is for:
  • 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

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