Take Your Data Analytics Expertise to the Next Level with SBDA™

Senior Big Data Analyst
Senior Big Data Analyst Certification

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Why Choose SBDA™?

The SBDA™ certification, built on the robust DASCA-EKF™ framework, is a globally respected credential tailored for mid-career professionals. Whether you’re seeking to enhance your expertise or step into leadership roles, SBDA™ provides the advanced knowledge and tools needed to excel in data analytics and lead impactful initiatives.

Why Choose SBDA™

What Makes SBDA™ Unique?

  • Validated Skills in Big Data Analytics

    Validated Expertise in Data Analytics

    SBDA™ certifies your advanced skills in managing, interpreting, and analyzing large data sets to generate actionable insights across industries like technology, healthcare, and finance.

  • Comprehensive Knowledge Framework

    Advanced Knowledge Framework

    Aligned with DASCA’s Essential Knowledge Framework (EKF™), SBDA™ provides a solid foundation in predictive analytics, machine learning models, and advanced data tools.

  • Globally Recognized Credential

    Globally Recognized Credential

    Showcase your capabilities with a certification respected by employers in 180+ countries, ensuring global credibility in data analytics roles.

  • Cross-platform, Vendor-Neutral Expertise

    Cross-Platform, Vendor-Neutral Proficiency

    SBDA™ prepares you to work seamlessly with various data platforms and technologies, making you adaptable in a fast-evolving analytics landscape.

Who Is It For?

The SBDA™ certification is designed for data analysts, business intelligence professionals, and mid-career analytics experts seeking to advance their skills and move into senior roles. It’s ideal for professionals eager to lead data initiatives and make a significant impact within their organizations.

Eligibility Overview:

  • Educational Background: A Bachelor's or Master’s degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Application, Engineering, Applied Sciences or related fields.
  • Professional Experience: At least 1-2 years of experience in analytics, business reporting, or data visualization.

Recommended Skills:

  • Proficiency in statistical tools and programming languages such as Python, R, or SQL.
  • Familiarity using platforms like SQl, Excel or Tableau/Power BI.
  • Analytical and problem-solving skills with a focus on driving actionable insights.

The SBDA™ Certification Process

Your Path to the SBDA™ Certification in Six Simple Steps:

SBDA Certification Process
  • 1 Check Your Eligibility.
  • 2 Complete SBDA™ Registration.
  • 3 Prepare with Exam Preparation Resources.
  • 4 Schedule and Complete Your SBDA™ Exam.
  • 5 Earn Your SBDA™ Credential.
  • 6 Maintain Your Certification with Renewals.

Key Competencies Developed

  • 01

    Advanced Data Analytics Techniques:

    Master the application of advanced statistical models, predictive analytics, and machine learning techniques to solve complex business problems.

  • 02

    Data Platforms and Tools:

    Develop expertise in handling large-scale data on leading analytics platforms and tools, including SQL, Tableau, Power BI, and Python, to deliver actionable insights.

  • 03

    Enterprise-Scale Data Solutions:

    Design and deploy scalable data analytics solutions, driving measurable ROI and operational efficiency.

  • 04

    Leadership in Data-Driven Decision-Making:

    Lead cross-functional teams, aligning data strategies with organizational objectives and fostering a culture of innovation.

How SBDA™ Makes a Difference

SBDA™ Testimonial

I have been in the world of analytics for almost a decade now, DASCA curriculum and methodology stands out as the best I have ever come across. I wish I had a DASCA certification training handbook when starting my career as a Data Analyst, I learnt data analytics the hard way since I don't have access to a comprehensive and structured material to guide my learning. I recommend DASCA certification to anyone who wants an easy walk into the space of Big Data Analytics.

Edward Olayemi, SBDA™

Team Lead, Insight and Analytics at First Bank
SBDA™ Testimonial

Alhamdulillah I am happy to announce that I am now a certified SBDA™ (Senior Big Data Analyst). The certificate is from the “Data Science Council Of America” (DASCA). It took me more than 2 months to prepare for this certificate, but it’s worth it.

Abdulrahman Almohseni, SBDA™

Data Scientist at SDAIA
SBDA™ Testimonial

I reflect on these past few months of maternity leave with gratitude. I learned a lot over the course of my maternity leave. During this period, I become a certified Senior Big Data Analyst (SBDA™). The certificate is from the "Data Science Council of America" (DASCA). Special thanks to Chimaoge Esotu for the encouragement. Also, to DSN - Data Scientists Network Data Science Nigeria for the privilege, the opportunity to have worked with a company of great impact. Maternity leave has been a developmental phase for me and I am fully ready for the next chapter.

Sarah Opeyemi Adekunle, SBDA™

Data Consultant at DSN

Frequently Asked Questions

What does the SBDA™ certification fee include?

The one-time USD 875 fee covers the certification exam, access to digital exam preparation resources, a digital badge, and the credential kit, including shipping.

What career opportunities open up with the SBDA™ credential?

The SBDA™ credential prepares you for senior roles in data science, including data analytics, business intelligence, data-driven strategy, and other specialized areas of the profession. It equips you to lead strategic data initiatives and drive impactful business decisions across industries.

What makes SBDA™ ideal for experienced analytics professionals?

SBDA™ is tailored for professionals with prior experience in data analytics, focusing on enhancing expertise in advanced tools, methodologies, and leadership, positioning candidates for impactful roles in the analytics ecosystem.

What do candidates receive upon passing the SBDA™ certification exam?

Upon successfully completing the SBDA™ certification exam, candidates are awarded a credential kit containing a physical certificate, a commemorative lapel pin, and a digital badge. These items serve as proof of their advanced analytics expertise and enhance their professional credibility.

Is the SBDA™ certification suitable for mid-career data analysts?

Yes. The SBDA™ (Senior Big Data Analyst) certification is ideal for mid-career data analysts seeking to advance into senior analytics, business intelligence, or strategic decision-making roles. It validates expertise in advanced analytics, data visualization, predictive modeling, and data-driven strategy, enhancing both credibility and career prospects.

How does the SBDA™ exam coverage differ from the ABDA™ certification?

The ABDA™ (Associate Big Data Analyst) certification focuses on foundational data analytics skills such as business analytics fundamentals, data manipulation, visualization, SQL/Python fundamentals, and entry‑level reporting abilities. It equips candidates for junior analyst roles and practical decision-support responsibilities. It’s designed for beginners and early‑career professionals looking to establish core analytics competence.

In contrast, the SBDA™ (Senior Big Data Analyst) exam coverage builds on those basics with advanced analytics skills, deeper data storytelling, complex data manipulation, modeling, automation, and strategic decision‑making capabilities. It emphasizes senior‑level applied analytics, broader use of tools like Power BI, Tableau, SQL/Python, and real‑world business intelligence challenges, making it suitable for experienced professionals and mid‑career roles.

In summary:

  • SBDA™ is advanced, strategic, and aligned with senior responsibilities.
  • ABDA™ is foundational, focusing on essential analytics skills for beginners.

This reflects the progression from basic analytics competence (ABDA™) to advanced analytics expertise (SBDA™).

Is the SBDA™ exam coverage aligned with real-world data analytics roles and projects?

The SBDA™ (Senior Big Data Analyst) exam coverage is fully aligned with real-world data analytics roles and projects. It focuses on practical skills and industry-relevant knowledge, including business analytics, advanced statistical techniques, data visualization, business intelligence, and workflow automation. The program equips professionals to handle complex datasets, generate actionable insights, and support strategic decision-making, making it directly applicable to senior-level analytics positions across industries.

What is the exam duration for the SBDA™ certification?

The SBDA™ (Senior Big Data Analyst) exam is 100 minutes long and consists of 85 multiple-choice questions in a single-answer format, designed to assess advanced analytics and data-driven decision-making capabilities.