DSAFS® Certification

Data Science & Analytics

The DSAFS® certification is a global benchmark for data science and analytics, validating the skills, education, and experience required to lead data-driven initiatives. Over 900 universities and training institutions worldwide teach to DSAFS® standards.

Thousands of leading companies prefer to hire professionals with DSAFS® credentials due to their proven expertise and proficiency in data science and analytics.

Benefits of DSAFS® Certification

Verified Expertise

Stand out to employers and clients by demonstrating verified data science and analytics skills, education, and experience.

Higher Earnings

Earn between 16-26% more than non-certified data professionals, as employers value the verified expertise and advanced skills that certification demonstrates.

Universal Practices

Operate more effectively as data science experts, using a shared language and universally accepted practices across various data disciplines.

Professional Development Units

Data Science & Analytics

DSAFS encourages constant updates of practical online knowledge and best practices.  These are tracked in the form of Professional Development Units (PDUs).

Although the certification lasts a lifetime, DSAFS encourages certified professionals to engage in ongoing professional development. To keep their skills aligned with the latest industry trends, certified individuals are invited to participate in optional annual training programs, workshops, and community events. These activities are not required for renewal but are highly recommended for continued professional growth and staying current with developments in data science and analytics.

For verification purposes, DSAFS periodically updates its database of certified professionals. DSAFS encourages certified individuals to engage in regular PDUs. Every five years, certified individuals are invited to submit a brief report outlining their involvement in PDUs, demonstrating their commitment to continuous learning. Although PDUs are not required to keep the certification active, they help ensure professionals remain aligned with the latest industry standards.

Steps to get DSAFS® Certified

Data Science & Analytics

Review Standards

Understand the key skills and knowledge areas needed (e.g., machine learning, data visualization, predictive modeling).

Take Exam

Take the test online. The exam will be proctored, adhering to all procedures and identity checks that the DSAFS examiner requires.

Meet Eligibility

Ensure you meet the prerequisites, including education, work experience, or prior certifications.

Earn PDUs

PDUs are not required to keep the certification active, they help ensure professionals remain aligned with the latest industry standards.

Register for Exam

Register and Pay the Exam Fee and get the Exam Link & Course Material on your Registered Email Address.

Submit Documents

Provide proof of education, experience, and professional development activities as required by DSAFS.

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