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Credential Award Record

Sean Joshua Miranda, SBDA™
  • Digital Badge Awarded to: Sean Joshua Miranda
  • Name of the Credential: Senior Big Data Analyst SBDA™
  • Unique Credential Code: 5178931863
  • Credential Awarded By: Data Science Council of America (DASCA)
  • First Award Date: Jan 27, 2021
  • Credential Expiration Date: Jan 26, 2026

PROFESSIONAL CAPABILITY INFERENCES

The SBDA™ credential validates advanced proficiency in business data analytics and the ability to translate complex datasets into strategic insights. Certified professionals demonstrate applied expertise in data manipulation, visualization, and decision-making frameworks, combined with fluency across analytics platforms, tools, and methods.

Earning the SBDA™ affirms a professional’s ability to:

  • Analyze and interpret business data to drive decision-making and organizational outcomes.
  • Communicate insights effectively through visualization and storytelling.
  • Apply SQL, Python, and other tools to manage, prepare, and process structured data at scale.
  • Leverage advanced analytics, automation, and generative AI to enhance efficiency and create business impact.
  • Adapt analytical approaches to industry-specific contexts, delivering relevant and actionable insights.

This credential reflects readiness to deliver outcome-driven performance in diverse business environments, bridging technical competence with strategic value creation.

PROFESSIONAL KNOWLEDGE AREAS

The SBDA™ exam assesses knowledge and applied skills across a broad range of domains critical to senior business data analysts, including:

  • Business analytics fundamentals and organizational decision-making

  • Data visualization, storytelling, and executive communication

  • Data manipulation, SQL, and Python for analysis and reporting

  • Business analysis tools, methods, and financial modeling basics

  • Data-driven decision-making frameworks and hypothesis testing

  • Analytics platforms, data systems, and enterprise data flows

  • Advanced analytics, automation, and applied AI

  • Industry-specific analytics approaches and metrics

  • Generative AI applications in business 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.