Algorithms and Code Optimization in Go

Writing functional code is only the first step; making it scalable requires a solid understanding of fundamental algorithms. This course guides you through code evaluation, time and space complexity analysis using Big O notation, and efficient data handling in Go. What you'll learn: Understand core computer science terminology, Big O notation, and execution complexity. Implement essential searching techniques including linear search and binary search in Go. Master foundational sorting algorithms like bubble sort, quicksort, and mergesort. Leverage Go generics to create type-safe, reusable data structures. Benchmark and measure code execution speed using native Go testing patterns. You will begin with basic definitions and algorithmic principles before moving into clear text-based code examples and performance optimization strategies. This course is ideal for beginners and self-taught Go developers with no prior computer science degree required. Begin your journey toward writing clean, high-performance Go code today.