What you’ll 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.
Prepare for job interview
Learn problem solving strategies
Learn how to find complexity of code and algorithms
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
- Introduction and Settings
- Code Complexity
- Data Structure
- Collections In Java
- Searching Algorithms
- Sorting Algorithms
- Tree Theory
- Graph Theory
- Short Path in Graph Theory
- Dynamic Programming