powered by

Credential Award Record

Martins Temiloluwa Adeniyi-Samuel, ABDA™
  • Digital Badge Awarded to: Martins Temiloluwa Adeniyi-Samuel
  • Name of the Credential: Associate Big Data Analyst ABDA™
  • Unique Credential Code: 3654787364
  • Credential Awarded By: Data Science Council of America (DASCA)
  • First Award Date: Feb 22, 2023
  • Credential Expiration Date: Feb 21, 2026

PROFESSIONAL CAPABILITY INFERENCES

The ABDA™ credential validates the ability to apply business data analytics concepts to practical decision-making contexts. Certified professionals demonstrate fluency in analytics tools, methods, and platforms, combined with the capability to structure, manipulate, and visualize complex data for actionable insights.

Earning the ABDA™ affirms a professional’s readiness to:

  • Apply analytics fundamentals to interpret business data and support decision-making.
  • Design clear and impactful visualizations to communicate findings effectively.
  • Use SQL, Python, and related tools to manage, process, and analyze structured datasets.
  • Employ business analysis methods and frameworks to connect data with organizational outcomes.
  • Leverage data-driven decision-making skills to frame business problems and test solutions.
  • Navigate analytics platforms and enterprise data systems efficiently.
  • Integrate advanced analytics, automation, and emerging AI tools into practice.
  • Adapt analytics approaches to industry-specific requirements and contexts.

This certification demonstrates professional potential for bridging technical competence with business application, preparing analysts to contribute directly to organizational intelligence and performance.

PROFESSIONAL KNOWLEDGE AREAS

The ABDA™ exam evaluates applied knowledge across domains essential for business data analysts, including:

  • Business analytics fundamentals and organizational decision-making

  • Data visualization and storytelling techniques

  • SQL, Python, and structured data manipulation

  • Business analysis tools and methods

  • Data-driven decision-making frameworks

  • Analytics platforms and enterprise data systems

  • Advanced analytics, automation, and applied AI

  • Industry-specific analytics applications and metrics

  • Generative AI in data analytics

About DASCA

The Data Science Council of America (DASCA) is the world’s foremost standards and credentialing body for data science professionals. Widely recognized for its pioneering, vendor-neutral frameworks, DASCA provides a rigorous structure for certifying expertise in data engineering, analytics, and data leadership. Through its globally benchmarked credentials, DASCA equips professionals and institutions to excel in the data-driven economy, advancing the frontiers of practice, governance, and leadership in data science worldwide.