
Data Structures
Organizations hire candidates who excel in Data Structures to effectively manage and manipulate data in today's world of work. Data Structures play a crucial role in organizing and storing data in a structured and efficient manner, enabling efficient data retrieval, manipulation, and analysis. Candidates with strong Data Structures skills possess the ability to design, implement, and optimize data structures such as arrays, linked lists, stacks, queues, trees, and graphs. These skills are highly valued as they enable companies to develop efficient algorithms, optimize software performance, and solve complex data-related challenges
Assessment Details
US $15
Performance Analysis report
40 minutes
40 MCQ
Certificate of Specialization
Credential of Readiness
Test Syllabus
The Data Structures Skill Test is a comprehensive evaluation designed to assess a candidate's practical understanding and application of data structures. This test evaluates the candidate's proficiency in various aspects of data structures, providing insights into their ability to work with data manipulation, algorithm design, and efficient data organization in practical contexts.
Topics covered in the test:
Fundamentals
Stacks and Queues
Heaps
Hashing
Trees
Algorithm Analysis
Linked List
Searching and Sorting
Sparse Matrix
Graphs
Related Roles
Data Structures skills are essential for efficient data organization, manipulation, and algorithm design. These roles are relevant as they involve working with large datasets, optimizing software performance, and solving complex data-related challenges.
Internship Roles:
Software Development Intern
Data Science Intern
Algorithm Engineer Intern
Research Assistant Intern
Full-time Roles:
Software Engineer
Data Engineer
Systems Analyst
Algorithm Developer
Backend Developer
Data Scientist
Technical Lead
Software Architect
Research Scientist
Database Administrator
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