Learning Data Structures and Algorithms [Online Code]
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases Number of Videos: 8 hours – 102 lessons Author:Rod Stephens User Level: Beginner In this Learning Data Structures and Algorithms training course, expert author Rod Stephens will teach you how to analyze and implement common algorithms used. This course is designed
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases
Number of Videos: 8 hours – 102 lessons
Author:Rod Stephens
User Level: Beginner
In this Learning Data Structures and Algorithms training course, expert author Rod Stephens will teach you how to analyze and implement common algorithms used. This course is designed for the absolute beginner, meaning no previous programming experience is required.
You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms.
Once you have completed this computer based training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.
System Requirements:Processor: AnyRAM: AnyHard Disk: 4GB
Product Features
- Learn Data Structures and Algorithms from a professional trainer on your own time at your own desk.
- This visual training method offers users increased retention and accelerated learning.
- Breaks even the most complex applications down into simplistic steps.
- Comes with Extensive Working Files.
This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases