Learning Data Structures and Algorithms
Implementation and Analysis for Increased Software Performance
Learning Data Structures and Algorithms udemy course
Implementation and Analysis for Increased Software Performance
What you'll learn:
- Learn mergesort and quicksort algorithm
- Understand binary search algorithm
- Learn Strassen’s multiplication algorithm
- Know about divide and conquer and its application
Requirements:
- Basic Math
Description:
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.
Who this course is for:
- Anyone interested in learning about Data structures and Algorithms
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Course Details:
- 8 hours on-demand video
- 1 article
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Learning Data Structures and Algorithms udemy free download
Implementation and Analysis for Increased Software Performance
Demo Link: https://www.udemy.com/course/learning-data-structures-and-algorithms/