Data Structures & Algorithms In Go - AI-Powered Learning for Developers

Data Structures & Algorithms In Go

Grow your proficiency in Golang by learning about algorithm design, analysis, and use of common Golang data structures by solving coding exercises.

Beginner

210 Lessons

55h

Certificate of Completion

Grow your proficiency in Golang by learning about algorithm design, analysis, and use of common Golang data structures by solving coding exercises.

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Explanations

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This course includes

128 Playgrounds

81 Challenges

This course includes

128 Playgrounds

81 Challenges

Course Overview

Data structures and algorithms are central concepts of computer science in general and software development in particular. Logging, transforming, and analyzing data are core skills in both real-world applications and coding interviews. This course is a detailed guide for data structures and algorithms with specific applications in the Go programming language. You’ll learn basic data structures starting with arrays, stacks, queues, hash tables, and trees. You’ll then process the data with common techniques,...Show More

TAKEAWAY SKILLS

Programming Language

Data Structures

Algorithms

What You'll Learn

A strong understanding of fundamental data structures and algorithms in Go

The ability to implement common data structures in Go

The ability to process data using basic algorithms in Go

Familiarity with computer science fundamentals and Go

What You'll Learn

A strong understanding of fundamental data structures and algorithms in Go

Course Content

Getting Started

This chapter outlines the course scope, objectives, and prerequisites for the Go programmers.

Who Should Take this Course and Why?

Time Complexity

In this chapter, you will learn about time complexity, analyzing algorithms with notations, runtime functions, and the Master Theorem.

Introduction and Asymptotic Analysis Big-O, Omega and Theta Notations Complexity Analysis of Algorithms

Time Complexity Order Deriving an Algorithm's Runtime Function Examples Related to Time Complexities

Master Theorem Master Theorem Examples Quiz

Arrays

This chapter explores array challenges, covering tasks like searching, rotation, and pattern formation, with solutions for each problem.

Recursive Functions

This chapter covers recursive functions, including factorials, GCD, permutations, and their solutions with complexity analysis.

Recursive Functions Challenge: Factorial Solution Review: Factorial Challenge: Print Base 16 Integers Solution Review: Print Base 16 Integers Challenge: Greatest Common Divisor Solution Review: Greatest Common Divisor Challenge: Fibonacci Numbers Solution Review: Fibonacci Numbers Challenge: All Permutations of an Integer List Solution Review: All Permutations of an Integer List Challenge: Tower of Hanoi Solution Review: Tower of Hanoi Quiz: Recursion

Approaches to Solve Algorithm Design Problems

In this chapter, you will learn to solve algorithm design problems by understanding constraints, idea generation, complexities, coding, and testing.

Introduction and Constraints Idea Generation

Complexities, Coding, and Testing Example and Summary

Data Structures in Go

11 Lessons

This chapter explores data structures in Go, such as stacks, queues, trees, heaps, hash tables, and graphs, along with their applications.

Sorting

17 Lessons

This chapter explains sorting algorithms, their efficiencies, and applications, helping you choose the best method for data.

Stack

36 Lessons

In chapter discovers stacks and their last-in-first-out operations through challenges like sorting, parentheses management, and expression conversion.

Queue

11 Lessons

This chapter covers queues, exploring implementations with various data structures and challenges involving basic operations.

10.

Tree

59 Lessons

This chapter explores tree structures, traversals, and challenges like searching, paths, and node calculations, focusing on hierarchical relationships.

11.

Binary Search Tree

25 Lessons

In this chapter, you will learn about Binary Search Trees, covering creation, insertion, searching, validation, and operations to maintain tree integrity.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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