Advanced Coding Interview Preparation with Ruby | CodeSignal Learn
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Advanced Coding Interview Preparation with Ruby
Software Engineering
5 courses
87 practices
18 hours
This intensive learning path elevates your Ruby programming skills from an intermediate to an advanced level. It is focused on enhancing your understanding and application of complex algorithms, intricate data structures, and effective implementation methods.
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4.35
144 learners
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Verified skills you'll gain
Badge for Debugging and Troubleshooting, Intermediate
INTERMEDIATE
Debugging and Troubleshooting
Badge for General Programming and Algorithms, Advanced
ADVANCED
General Programming and Algorithms
Tools you'll use
Ruby
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Course 1
Multidimensional Arrays and Their Traversal in Ruby
5 lessons
25 practices
Enhance your understanding of multidimensional arrays and their traversal methods in Ruby. This course is designed to equip you with the skills necessary to manipulate multidimensional arrays, transpose rows and columns, and iterate over nested elements.
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Course 2
In-Depth Exploration of Ruby Hashes and Their Practical Use
4 lessons
Course 3
Mastering Task Decomposition into Manageable Parts with Ruby
4 lessons
Course 4
Mastering Hashes, Two Pointers, and Additional Algorithms in Ruby
5 lessons
Course 5
Maximizing Efficiency in Ruby Problem Solving Techniques
5 lessons
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20 practices
Deepen your understanding and application of hash data structures, concentrating on their use in counting and aggregation tasks. This course will enhance your ability to efficiently access and manipulate data using Ruby hashes.
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12 practices
Acquire the ability to break down complex tasks into smaller, manageable sub-tasks. This course enhances your skills in effectively structuring, dividing, and solving each component of challenging coding problems and merging solutions into a cohesive whole.
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15 practices
Explore key programming algorithms involving Hashes, Sets, and two-pointer techniques. This course will boost your skills in optimizing data structures and refining your problem-solving strategies.
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15 practices
This comprehensive course covers distinctive problem-solving approaches and analysis techniques extending beyond basic programming. Topics include optimizing brute-force methods, managing combinatorial problems, and effectively utilizing heaps and sorted lists.
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