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Computer Science 101: Master the Theory Behind Programming

 Computer Science 101: Master the Theory Behind Programming
Udemy Course Computer Science 101: Master the Theory Behind Programming | NED
theory behind programming is just as important, if not more important than learning a singular programming language like Java or C++. Programming is all about problem solving. Analyzing a problem, and being able to figure out a way that a computer can help with that problem. Computer Science
Bestseller
by Kurt Anderson

What you'll learn
  • Understand the Fundamental Theories of Algorithm Analysis
  • Be able to Compare Various Algorithms
  • Understand When to use Different Data Structures and Algorithms
  • Understand the Fundamentals of Computer Science theory
  • Understand the Core Sorting Algorithms
 Description

Master the Theory to Becoming a Good Programmer!

If you're looking to learn the theory that makes great programmers, you've come to the right place! This course is perfect for anyone interested in learning the fundamentals to Computer Science Theory.

No Previous Experience Necessary!

Computer science and technology are often thought of as things only for "analytical minds". I believe however that technology and it's theory are for everyone. So I designed this course to teach each topic in a variety of easy to digest ways. Through these multiple reinforcing steps, I believe anyone can follow along and succeed!

Why is the Theory of Programming Important?

Understanding Computer Science theory is what sets apart Great programmers from average ones. Programming theory is something that transcends a single programming language. It gives you skills and techniques you can apply to any programming language you touch. Learning the theory behind programming is just as important, if not more important than learning a singular programming language like Java or C++.

Programming is all about problem solving. Analyzing a problem, and being able to figure out a way that a computer can help with that problem. Computer Science is the practice of this analysis process. It goes over the techniques and knowledge necessary to design efficient and sustainable code.
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