Introduction to Algorithm Analysis [For Complete Beginners]
What you'll learn
- Analyze the asymptotic growth of a program
- Analyze the time complexity of many algorithms
- Compare programs
Requirements
- You should have basic algebra skills
- You should have a basic understanding of programming
Description
In this algorithm analysis course you will learn the definitions of Big O, Bog Omega, and Theta. By the end of the course you will understand what these terms mean , why we use them, and how to solve algorithms and programs with them. This is a short course and only takes about 90 minutes to complete. In this course there are plenty of examples and quizzes to learn from so that you are sure to understand the lectures and the material.
Who this course is for:
- Anyone who wants to learn about analyzing programs, functions, and algorithms in general.
Instructor
Hello, and welcome to my Udemy course(s). I hope you enjoy them!
A little bit about me and my background:
I am a data analyst, and programmer. I received my bachelors in Computer Science and obtained a masters degree in Data Analytics. With the 5 years of experience in IT, I've learned a lot about the business of information technology and can tell you that it can be challenging at times and not so challenging at other times.
Programming allows you, me, and anyone willing to learn to create their own rules and solve problems using an automated process, which is a huge reason why I continue programming even on my spare time. The mindset, and skills that I've learned from my Computer Science background allows me to break down problems in ways that are simple and understandable. This skillset is huge for communicating issues in the IT industry and well any industry for that matter.
So, I've made sure to use this same skillset to break down complex topics such as algorithm analysis and recurrence relations to help anyone trying to learn these topics to understand them concretely, easily, and quickly. By taking my courses, I believe you will understand the topics very well in a fraction of the time it would take to learn them in a college course.
I wish you good luck on your learning journey, and hope to see you in class!