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.
210 Lessons
55h
Updated 1 month ago
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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.
Data structures and algorithms are central concepts of computer science in general and software development in particular. Loggi...Show More
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
A strong understanding of fundamental data structures and algorithms in Go
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TAKEAWAY SKILLS
Learning Roadmap
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Frequently Asked Questions
What is the goal of this course?
Who is this course for?
What types of data structures will I learn?
Does the course cover algorithmic techniques?
What is the teaching format of the course?
Are advanced algorithms covered?
Is there any real-world application of the Go algorithms discussed?
