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Comprehensive Algorithms (Udemy.com)

This course provides a comprehensive overview of the concepts of algorithm analysis and development.

Created by: Jordan Hudgens

Last updated April 2021

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What you will learn

  • By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures

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Course Description

Course update April 2021: Added Python code implementations for the Stack data structure, including a practical example that shows how to reverse a string.

This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required.

In the lessons, I review popular algorithms such as:

  • Binary search trees

  • Tree traversal and management

  • Merge sort

  • Counting sort

  • Insertion sort

  • Radix sort

  • Huffman coding

  • And much more

Additionally, you'll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.

And based on course feedback, I'm now adding full Python based code implementations of the algorithms, so you can build and run the programs!

I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.

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Instructor Details

Jordan Hudgens

Jordan Hudgens is the CTO and Founder of Bottega where he leads instruction and curriculum development for all of the DevCamp and Bottega code schools around the US.

As a full stack developer for over the past decade, Jordan has traveled the world building applications and training individuals on a variety of technology stacks, including: Ruby on Rails, Python, React JS, React Native, JavaScript, and TypeScript, with a speciality in API and machine learning development.

Jordan has developed applications for Quip, Eventbrite, and DevCamp. As a teacher, he focuses on project driven education, with a focus on jobcentric techniques. This means that he focuses specifically on teaching the skills needed in the development industry. This style of teaching is conducive to learning how to build real world products that adhere to industry best practices.

Additionally Jordan has published multiple books on programming and computer science for Packt Publishing, along with developing training curriculum for Bottega, Learn Co, DevCamp, and AppDev on the topics of Ruby on Rails, Java, AngularJS, NoSQL, API development, TypeScript and algorithms.

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Reviews

4.1

68 ratings on Udemy

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By Omar Pasha on 5/14/2019

I learned a lot! Can't wait to finish it!!

By Zachary Hill on 7/23/2018

You never mention things as being "constant", "linear", "quadratic", "logarithmic", etc. If I had no exposure to those words before this course, I would be absolutely stumped if someone asked about "linear time". Great material, just might be worthwhile to mention them like that as well.

By nt 19 on 4/1/2018

High level intro, is what it says, real fast but useful to get a 1000 foot undesrtanding of algorithms and start your own learning

By Vamsi Krishna on 3/12/2017

nice explanation

By Steve Farrow on 3/10/2017

I liked his explanations about the different types of algorithms, but I wished there was more math or would of used more practical examples. To get a better understanding of how to use them in real life. His explanations of how they work is good though.

By M B on 5/5/2016

It does give an easy to follow overview of some key algorithm functions, but some of the explanations feel a little lacking/incomplete if you do not have some previous background to draw on. It will help tease out complex ideas and give you a solid base to research/learn more though.

By Greenland888 Land on 1/6/2016

informative, helped me to understand basic algorithms

By Dian Pan on 11/21/2015

This is a great intro to algorithms and data structures, beginner friendly and easy to understand. Note - you don't actually code any of the algorithms described.

By Burim Shala on 11/9/2015

The course was great but there where some key points missing, like explaining the graph data structure, but overall it was a nice one.

By Ramesh K Velampalayam on 6/5/2014

This is probably easily the best algo course that can be skimmed through in no time before one gets on to more rigorous course materials. This course provides many visualization techniques that helps understand the concepts and retain the technique with ease. This is no substitute for a formal course. For those who had done a formal course on DS & Algo, this is a good refresher. I went through this in a day.

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Overall Score : 82 / 100