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Data Structure and Algorithms Analysis – Job Interview Course Catalog

Data Structure and Algorithms Analysis - Job Interview Course Catalog Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions
Data Structure and Algorithms Analysis - Job Interview Course Catalog Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions

Data Structure and Algorithms Analysis – Job Interview Course Catalog

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

What you’ll learn

Data Structure and Algorithms Analysis – Job Interview Course Catalog

  • Write code that runs 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.
  • Prepare for a job interview
  • Learn problem-solving strategies
  • Learn how to find the complexity of code and algorithms

Requirements

  • No previous programming experience is required! I will give you a 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.

Description

This course prepared depending on my real Software Engineer job interview 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 the different types 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 runs faster and use low memory. I also will learn how to analyze problems using Dynamic programming. 

We will discuss 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:

Download Now Content From: https://www.udemy.com/course/data-structure-and-algorithms-analysis/

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