Certification Overview
By Industry Standards
For professionals who communicate data science concepts or manage data analytics teams, the DSAFS® certification verifies expertise across a wide range of data science and analytics disciplines. It is commonly used as a baseline requirement for all team members in data-driven roles at agencies or other organizations. Teams that train or hire according to DSAFS® standards are recognized as leaders in data science performance and analytics excellence.
Saimon Frey
CEO, Founder
Data Science & Analytics certification
Industry Certification and Testing for Teams, Groups, and Agencies
DSAFS® verifies skills, education, and experience. Here is a Data Science & Analytics certification Overview which has four key attributes:
Industry Driven Standards
Competencies are established through comprehensive role delineation studies, surveys of hiring managers, and audits conducted by a diverse group of practitioners, subject-matter experts, and educators.
Open Accessibility
DSAFS® competencies are globally taught across hundreds of universities and institutions, offering candidates the flexibility to prepare for certification exams through various courses. These competencies are vendor-neutral and not confined to any single platform or provider.
Proctored Exams
Certification exams are developed by leading industry experts, published authors, and peer-reviewed regularly to maintain quality. Exam questions align with authoritative resources and undergo psychometric and difficulty analysis. Proctoring safeguards the integrity of the process by verifying candidates’ identities.
Comprehensive Verification Process
Certification is awarded only after DSAFS staff manually verify candidates’ work experience, exam performance, and educational credentials, ensuring the credibility and authenticity of the certification.
