advanced

Advanced Coding Interview Preparation with Kotlin

Computer Programming

5 courses

87 practices

18 hours

This rigorous learning path enhances your Kotlin programming proficiency from intermediate to advanced level. It is dedicated to refining your knowledge and application of advanced algorithms, complex data structures, and efficient implementation techniques.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

ADVANCED

General Programming and Algorithms

INTERMEDIATE

Debugging and Troubleshooting

Tools you'll use

Kotlin

Trusted by learners working at top companies

Course 1

Multidimensional Arrays and Their Traversal in Kotlin

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

Kotlin HashMaps in Practice: Revision and Application

4 lessons

20 practices

Strengthen your understanding and application of hashmap data structures with a focus on counting and aggregation tasks. This course will deepen your comprehension of efficient data access and manipulation using hashmaps.

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Course 3

Mastering Task Decomposition in Kotlin

4 lessons

12 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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Course 4

Mastering Algorithms: HashMaps, Two Pointers, and Beyond

5 lessons

15 practices

Dive into the key algorithms involving HashMaps, HashSets, and two-pointer techniques. This course will enhance your skills in optimizing data structures and problem-solving methods.

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Course 5

Maximizing Efficiency in Problem-Solving Techniques in Kotlin

5 lessons

15 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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