Professional Certificate in Test Development & Validation for Data Scientists
-- viewing nowThe 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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Course Details
• 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
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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