Advanced Coding Interview Preparation with Go | CodeSignal Learn
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Advanced Coding Interview Preparation with Go
Computer Programming
5 courses
82 practices
17 hours
This rigorous learning path extends your Go programming proficiency from intermediate to advanced level. It's dedicated to refining your knowledge and application of sophisticated algorithms, complex data structures, and efficient implementation strategies.
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4.48
677 learners
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Verified skills you'll gain
Badge for General Programming and Algorithms, Advanced
ADVANCED
General Programming and Algorithms
Badge for Debugging and Troubleshooting, Intermediate
INTERMEDIATE
Debugging and Troubleshooting
Tools you'll use
Go
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Course 1
Multidimensional Arrays and Their Traversal in Go
5 lessons
25 practices
Enhance your understanding of multidimensional arrays and their traversal techniques. This course will provide you with the expertise to manipulate multidimensional arrays, transpose rows and columns, and iterate over nested elements efficiently.
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Course 2
Go Maps in Practice: Revision and Application
4 lessons
Course 3
Mastering Task Decomposition in Go
4 lessons
Course 4
Mastering Algorithms: Maps, Two Pointers, and Beyond in Go
5 lessons
Course 5
Maximizing Efficiency in Problem-Solving Techniques in Go
4 lessons
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Francisco Aguilar Meléndez
Data Scientist
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+11
19 practices
Strengthen your understanding and application of map data structures with a focus on counting and aggregation tasks. This course will deepen your comprehension of efficient data access and manipulation using maps.
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11 practices
Learn the art of breaking down complex tasks into manageable sub-tasks. This course will help you develop skills to effectively structure, divide, and implement individual parts of sophisticated coding problems and merge them into a cohesive solution.
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15 practices
Dive into the key algorithms involving maps, sets, and two-pointer techniques. This course will enhance your skills in optimizing data structures and problem-solving methods.
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12 practices
This comprehensive course covers unique problem-solving approaches and analysis techniques. Topics include optimizing brute force methods, addressing combinatorial problems, and utilizing heaps and sorted lists efficiently.
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