Mastering Algorithms and Data Structures in Java | CodeSignal Learn

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intermediate

Mastering Algorithms and Data Structures in Java

Software Engineering

4 courses

72 practices

10 hours

This path will help you learn and practice skills needed for technical coding interviews at top tier companies using Java. It will focus on understanding how to choose optimal algorithms and data structures for different problems, how to apply them, and how to explain their reasoning.

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4.61

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14,911 learners

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Verified skills you'll gain

INTERMEDIATE

Computer Science Fundamentals

INTERMEDIATE

General Programming and Algorithms

Tools you'll use

Java

Course 1

Hashing, Dictionaries, and Sets in Java

6 lessons

15 practices

Delve into Hashing, HashMaps, and HashSets in Java with this specialized course, exploring implementation, practical applications, and algorithmic problem-solving. Gain hands-on experience to confidently address data analysis and management challenges.

Course 2

Sorting and Searching Algorithms in Java

7 lessons

27 practices

This is a comprehensive course curated to convey fundamental and advanced understanding of sorting and searching algorithms. The course guides through different types and functionality of these algorithms, their complexity analysis, and the practical application in solving complex programming problems.

Course 3

Advanced Data Structures - Stacks and Queues in Java

5 lessons

16 practices

This advanced course furthers into the understanding and application of Stacks and Queues in Java. It explicates the inner workings, implementation, and complexities of these structures, with their effectiveness for resolving interview-focused algorithmic coding conundrums.

Course 4

Fundamental Data Structures - Linked Lists in Java

4 lessons

14 practices

This foundational course dives into the understanding and application of Linked Lists in Java. It elucidates the inner workings, implementation, and complexities of Linked Lists, along with their effectiveness for solving interview-focused algorithmic coding challenges.

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