This Data Science Programming (Python) test evaluates candidates on essential skills such as Python programming, data structures, algorithms, and advanced concepts like generators and lambdas. It also covers testing, debugging, error handling, database operations, and dynamic programming.
This Data Science Programming (Python) test is designed to assess candidates' proficiency in Python programming, focusing on key areas such as data structures, algorithms, and advanced Python concepts including generators and lambdas. The test also evaluates skills in testing and debugging, error handling, and database operations, ensuring a comprehensive understanding of dynamic programming. Ideal for roles that require a strong foundation in Python and data science, this assessment helps identify candidates who can effectively solve complex problems and contribute to data-driven projects.
This assessment is suitable for roles such as Data Scientist, Python Developer, Data Analyst, Machine Learning Engineer, and Software Engineer, where proficiency in Python and data science is essential.
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Access to Objective Way of Assessments - MCQs, Checboxes, Fill in the blanks, Subjective (Manually Scored), File Upload (Manually Scored)
Access to Practice Way of Assessments - Programming, Debugging, Database, Data Science,
Access to Real-world, work like Assessments - Projects, DevOps, Machine Learning, Subjective (AI Evaluated), Video (Technical Knowledge), Video (Communication Skill), Whiteboarding (AI Evaluated)
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Use AI Copilot to Generate Questions
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Access to Objective Way of Assessments - MCQs, Checboxes, Fill in the blanks, Subjective (Manually Scored), File Upload (Manually Scored)
Access to Practice Way of Assessments - Programming, Debugging, Database, Data Science,
Access to Real-world, work like Assessments - Projects, DevOps, Machine Learning, Subjective (AI Evaluated), Video (Technical Knowledge), Video (Communication Skill), Whiteboarding (AI Evaluated)
Assessment Design consultation services according to Curriculum, Training or Learning Paths