Learn Algorithms and Data Structures in Java for Day-to-Day Applications [Video]
Programs are created from algorithms and data structures. Mastering these is an essential part of your development as a Java programmer. They are the main building blocks for each architectural pattern. Many courses treat data structures and algorithms as a theoretical computer science topics. This course relates every technique back to real-world problems and situations you will face working as a programmer.
You will start off with data structures before diving deeper into hash tables and hash functions. This will allow your programs to find the in-memory data they need, even with huge quantities of records stored in the memory. You’ll learn to use querying binary search trees. The course will take you through heapsort, quicksort, recursion, and tail recursion algorithms. You’ll get familiar with multithreading algorithms and probabilistic algorithms. You’ll also understand the importance of advanced data structures and graph algorithms. This will help you to build priority queues and save your time by keeping disgruntled users at bay.
User databases and minimal computing requirements are on the rise. It's important to write sophisticated applications and run them with improved performance, and this course helps you write these applications. It will help you to gain in-demand knowledge of key data structures and algorithms and prepare you for the next stage in your career as a developer.Style and Approach
The vision of the course is to get you acquainted with the core and advanced data structures and algorithms used for day-to-day applications. You’ll see how they work and how to use them effectively in your own programs. It’s full of step-by-step instructions, revealing examples, and clear explanations that will help you understand the practical application of each algorithm with scenario trade-offs.
|Course Length||2 hours 41 minutes|
|Date Of Publication||21 Dec 2017|
|Big O Notation — How to Analyze Algorithms|
|Stacks — Basic Building Blocks of Every Program|
|Linked Lists — When We Need Fast Insertion|
|Arrays — When We Need Fast Lookup|
|Hash Functions — How to Distribute Data into Buckets|
|What is a Binary Search Tree?|
|Querying Binary Search Tree — When to Use It Effectively|
|Binary Search Tree — Removing Nodes|