Mastering Algorithms and Data Structures in Kotlin

Overview

This path focuses on helping you understand how to select the most suitable algorithms and data structures for different problems in Kotlin, how to implement them effectively, and how to analyze their underlying logic. Topics covered will include maps, recursion, and linked lists.

Syllabus

Course 1: Practical Hashing with Sets and Maps in Kotlin
Course 2: Sorting and Searching Algorithms in Kotlin
Course 3: Fundamental Data Structures - Stacks and Queues in Kotlin
Course 4: Fundamental Data Structures - Linked Lists in Kotlin

Courses

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2 hours
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Explore Hashing, Dictionaries, and Sets in Kotlin with this course, focusing on implementation, use cases, and algorithmic problem-solving. Gain practical experience to tackle data analysis and management tasks effectively.
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4 hours
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This course provides fundamental and advanced insights into sorting and searching algorithms. It walks through various algorithm types and functionalities, complexity analysis, and practical applications in complex problem-solving.
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2 hours
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This advanced course delves into understanding and applying Stacks and Queues in Kotlin. It explains the internal workings, implementation, and complexities of these structures, emphasizing their effectiveness for solving interview-centric algorithmic challenges.
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2 hours
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This foundational course delves into understanding and applying Linked Lists in Kotlin. It details the inner workings, implementation, and complexities of Linked Lists, highlighting their effectiveness for solving interview-focused algorithmic challenges.