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Courses>Other IT & Software>Learning Data Structures and Algorithms
IT & SoftwareLearning Data Structures and Algorithms
Price:Paid
Length:8 hours
Content type:video
level:beginner
Updated:23 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Learning Data Structures and Algorithms
Learning Data Structures and Algorithms
4.1 (3.2k)
8 hours
3187 students
What you will learn
1Learn to analyze and implement common algorithms
2Learn about different types of Data Structures
3Complexity Theory
Target audiences
1Anyone interested in learning about Data structures and Algorithms
Requirements
1This course is designed for the absolute beginner, meaning no previous programming experience is required.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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.

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Make the most out of your online education
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Careertail
Courses>Other IT & Software>Learning Data Structures and Algorithms
IT & SoftwareLearning Data Structures and Algorithms
Price:Paid
Length:8 hours
Content type:video
level:beginner
Updated:23 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Learning Data Structures and Algorithms
Learning Data Structures and Algorithms
4.1 (3.2k)
8 hours
3187 students
What you will learn
1Learn to analyze and implement common algorithms
2Learn about different types of Data Structures
3Complexity Theory
Target audiences
1Anyone interested in learning about Data structures and Algorithms
Requirements
1This course is designed for the absolute beginner, meaning no previous programming experience is required.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot