Comprehensive Algorithms
What you'll learn
- By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures
Requirements
- No previous experience is required
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.
Who this course is for:
- Computer science students
- Programmers
- Mathematicians
Instructor
- 4.4 Instructor Rating
- 18,007 Reviews
- 81,805 Students
- 16 Courses
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.