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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โข Test Development Process in Data Science
โข Types of Tests for Data Science: Unit, Integration, and End-to-End Tests
โข Test Design Techniques: Black Box, White Box, and Grey Box Testing
โข Writing Test Cases for Data Science Applications
โข Test Automation Frameworks for Data Science
โข Programming Languages and Tools for Test Development: Python, R, and SAS
โข Data Science Test Data Management: Generation, Masking, and Privacy
โข Metrics and Measurements in Data Science Testing
โข Test Validation and Verification in Data Science
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