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Data Structures & Algorithms In Go

Gain insights into data structures and algorithms in Go. Delve into arrays, stacks, queues, hash tables, trees, greedy algorithms, and dynamic programming with hands-on coding.

4.6

210 Lessons

55h

Updated 4 months ago

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LEARNING OBJECTIVES

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

Learning Roadmap

210 Lessons2 Quizzes81 Challenges

Getting Started

Get familiar with pursuing a Go programming career with in-depth data structures.

Who Should Take this Course and Why?

Time Complexity

Discover the logic behind time complexity, asymptotic notations, and algorithm efficiency.

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

23 Lessons

Go hands-on with array manipulation, searching algorithms, and various efficiency challenges.

Recursive Functions

14 Lessons

Grasp the fundamentals of recursive functions, including factorials, GCD, Fibonacci, permutations, and the Tower of Hanoi.

Approaches to Solve Algorithm Design Problems

4 Lessons

Take a closer look at identifying constraints, generating ideas, assessing complexities, and thorough testing in algorithm design.

Data Structures in Go

11 Lessons

Simplify complex data structures in Go, from ADTs to advanced collections like graphs.

Sorting

17 Lessons

Build on sorting principles, techniques, and algorithms for various dataset scenarios.

Stack

36 Lessons

Sharpen your skills in implementing and managing stacks, including operations, challenges, and expression conversions.

Queue

11 Lessons

Unpack the core of queue data structures, their implementations, and problem-solving techniques.

10.

Tree

59 Lessons

Examine tree structures, types, and traversals, with practical challenges and efficient solutions.

11.

Binary Search Tree

25 Lessons

Grasp the fundamentals of Binary Search Trees, covering construction, insertion, deletion, and tree traversal.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

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, including greedy algorithms and dynamic programming. At each step, you’ll review implementation details with consideration for time complexity, hands-on coding exercises, and thorough explanations of the principles at hand. By the end of this course, you’ll have the confidence to solve any problem using the fundamentals of computer programming in Go.

ABOUT THE AUTHOR

Hemant Jain

I am a Software engineer with a work experience of over 15 years. I had Authored various books on Data Structures and Algorithms.

Learn more about Hemant

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