Data Structures for Coding Interviews in Go

Go is widely used for backend and infrastructure development, and employers expect candidates to understand more than Go syntax. Technical interviews for Go roles often test data structures, algorithms, and problem-solving skills in depth. This course prepares you to apply these concepts in Go-based technical interviews. This course draws on years of experience building large-scale systems and interviewing hundreds of engineering candidates at leading technology companies. The strongest candidates were not necessarily those who wrote flawless code. They were able to analyze a problem clearly, select an appropriate data structure or approach, and communicate their reasoning throughout the solution. You’ll learn about the data structures that are commonly tested in Go technical interviews, including arrays, slices, linked lists, stacks, queues, trees, heaps, graphs, and maps. Each topic includes problems that reflect common technical interview patterns. The focus is on developing a structured problem-solving approach that you can apply under interview constraints. If you are a Go developer preparing for technical interviews, this course provides a practical starting point for building a structured problem-solving process.