Professional Certificate in Test Development & Validation for Data Scientists
-- ViewingNowThe Professional Certificate in Test Development & Validation for Data Scientists is a crucial course designed to equip data scientists with the necessary skills to create and validate tests in their data-driven projects. With the increasing industry demand for robust and reliable testing methodologies, this program offers learners the opportunity to master best practices in test design, implementation, and evaluation.
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⢠Test Development Process in Data Science
⢠Types of Tests for Data Science: Unit, Integration, and End-to-End Tests
⢠Test Design Techniques: Black Box, White Box, and Grey Box Testing
⢠Writing Test Cases for Data Science Applications
⢠Test Automation Frameworks for Data Science
⢠Programming Languages and Tools for Test Development: Python, R, and SAS
⢠Data Science Test Data Management: Generation, Masking, and Privacy
⢠Metrics and Measurements in Data Science Testing
⢠Test Validation and Verification in Data Science
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