Data Structure And Algorithms – For Big Tech Interviews

 Write code that runs faster, uses less memory, and prepares for a software engineer job interview 

 What you'll learn 

 Write code that runs faster and uses less memory 

 Preparing for a Job Interview 

 Learn about data structures and how to apply them on Java problems  

 Learn to analyze and implement algorithms. Learn problem-solving strategies 

 Learn how to find  code and algorithm complexity 

 Condition 

 No prior programming experience  required! I will give you a free Java course if you  have no experience with  programming languages 

 You will need a computer running Microsoft Windows or Linux or a Mac running OS X.  Description 

 This course is prepared based on my real experience of software engineer job interviews  with Google, Microsoft, Amazon and Snapchat. 

 In this course, you will learn how to analyze algorithms such as sorting, finding, 

, and graphing algorithms. And how to reduce  code complexity from one Big-O 

 level to another. In addition, you will learn different types of data structures for your code. You will also learn how to find the Big-O for each data structure and  apply the correct 

 data structure to your problem in Java. In the end, you'll be able to write code that runs faster and uses less memory. You  will also learn 

 ways to analyze problems using dynamic programming. 

 We will discuss the complexity of the code  in various algorithms such as sorting algorithms (bubble, merge, heap and fast), search algorithms (binary search, linear search and interpolation), graph algorithms (binary trees, DFS, BFS, Nearest Neighbor and Shortest Path, Dijkstra Algorithm and A* Algorithm). and Data Structures like Dynamic Arrays, Linked Lists, Stacks, Queues, and Hash Tables 

 Who is this course  for: 

 Students interested in writing code that runs faster and uses less memory 

 Those who want to apply for the position of software engineer or software developer 

 Last Updated 1/2022 

 English 

 English [Automatically Generated] 

 Size: 4.51 GB

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