Data Science Council of America
  • Certifications

    Certifications

    Explore DASCA’s comprehensive certification paths tailored for professionals in:

    Explore

    • > Check Your Eligibility

      Choose your qualification and experience level to find the DASCA certification that aligns with your career goals.

    • > Certification Process

      Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.

    • > DASCA Examination and Policies

      DASCA certification exams are available online worldwide, accessible in 180+ countries.

    • > Frequently Asked Questions 

      Find answers to common questions about DASCA certifications, exam process and policies.

    • > Digitally Badged Credentials

      Showcase your DASCA certification with digital badges recognized worldwide.

  • Accreditation
    DASCA Accredited
    • Accreditation Home

      Discover how DASCA Accreditation enhances data science and AI education, ensuring global recognition and academic excellence.

    • About DASCA Accreditation

      Understand how DASCA Accreditation sets the benchmark for excellence in data science and AI education, aligning institutions with global industry standards.

    • Accreditation Standards

      Examine the framework that upholds high benchmarks for curriculum, faculty expertise, and industry relevance in data science and AI programs.

    • Eligibility Criteria for Institutions

      Understand the institutional and program-level requirements to assess your readiness for pursuing DASCA Accreditation.

    • Accreditation Journey

      Explore the step-by-step process to achieve DASCA Accreditation through a rigorous, globally benchmarked, and digitally powered evaluation.

    • Accreditation Impact

      Discover how DASCA Accreditation enhances institutional reputation, academic quality, and global competitiveness in data science and AI education.

    • Resources for Institutions

      Access comprehensive guides, support tools, and subsidy programs designed to assist institutions throughout their accreditation journey.

    • DASCA Accreditation Advisors

      Learn about the global network of academic and industry experts who support institutions in delivering high-quality data science and AI education.

    • Frequently Asked Questions

      Get answers to common questions about institutional eligibility, the accreditation process, ongoing compliance and more.

    • Apply Today

      Begin your DASCA accreditation journey and position your institution among global leaders in data science and AI education.

  • Partnership

    Partner with DASCA: Drive Data Science Excellence

    Join the rapidly growing DASCA network of leading tech schools, higher education institutions, IT training companies, and government organizations. Partner with DASCA to prepare your students and professionals for globally recognized data science certifications. Start your partnership journey today.

    Know more
    • Universities & Institutions

      For Universities & Institutions

      Get your academic programs DASCA accredited and join an elite group of institutions shaping the future of data science. Leverage the World Data Science & AI Initiative's subsidy program to strengthen your academic offerings.

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    • Tech Companies & Other Organizations

      For Tech Companies & Other Organizations

      Get your teams DASCA-certified and ensure they meet global standards in data science. Partner with us to drive sustainable skills development and long-term growth for your organization.

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    • Training Companies

      For Training Companies

      Offer training programs that prepare candidates for DASCA certification exams. Position your academy as a trusted provider of exam-focused education for aspiring data science professionals.

      Read More>
    • Advocacy Partnership

      For Advocacy Partnership

      Collaborate with DASCA to promote standards-based data science education. Align your curriculum with DASCA’s globally recognized framework and contribute to advancing the field’s future.

      Read More>
  • Framework
    DASCA EKF

    The DASCA Standard of Excellence in Credentialing

    The DASCA Body of Knowledge and the Essential Knowledge Framework (EKF™) define the foundational structure of all DASCA certifications. Together, they ensure that DASCA credentials reflect the highest standards of professional competency and knowledge depth across analytics, engineering, and AI.

    Read more
    • DASCA Body of Knowledge: Foundation for Certification

      The DASCA Body of Knowledge outlines the structured learning paths and core topic areas covered across all certification tracks. It reflects DASCA’s commitment to ensuring every certification is aligned with validated professional requirements and tested through role-relevant knowledge.

    • Essential Knowledge Framework (EKF™): Mapping Competence and Career Progression

      The Essential Knowledge Framework (EKF™) defines what data professionals need to know and how deeply across five critical domains. It maps these knowledge areas to three professional roles (Data Analyst, Data Engineer, Data Scientist) and aligns each with Functional, Professional, or Expert-level proficiency. The EKF™ serves as the global benchmark for designing DASCA certifications and guiding individuals, institutions, and employers in preparing for success in the data economy.

  • Initiatives
  • About

    About

    DASCA sets industry-leading standards, frameworks, certifications, and accreditation programs to develop skilled Data analysts, engineers, and data scientists.

    • The Credentialing Framework

      Uncover DASCA’s dynamic Credentialing Framework, which reinforces industry leadership through its Essential Knowledge Framework (EKF™) and Data Science body of knowledge.

    • DASCA Governance

      Learn about DASCA’s governance structure, ensuring neutrality, independence, and adherence to the highest credentialing standards.

    • The Code of Ethics

      Commit to integrity in data science. Discover the principles that guide DASCA-certified professionals in ethical, responsible, and transparent practices. 

    • The Data Science Era

      Explore how Data is transforming industries globally, driving innovation, and creating new opportunities across sectors.

    • Data Science Professions

      Discover the emerging career tracks in Data Science and how professionals are adapting to the rapidly evolving data landscape.

    Accreditation and Credentialing

    DASCA’s pioneering credentials for data analysts, data engineers, and data scientists are cross-platform, vendor-neutral, and adaptable across a wide range of industries and operational levels. Our certifications equip professionals with the skills they need to excel in today’s dynamic data landscape, ensuring they are prepared for diverse roles in data-driven environments.

    Get Started

    Start your data science journey with DASCA. Whether you're an individual pursuing certification, an institution seeking DASCA accreditation, or an organization exploring partnership, the process is simple and entirely online to help you achieve your goals.



    Contact Us

    For any questions about certifications, partnerships, or DASCA accreditation, feel free to get in touch.



    Newsroom

    Stay up to date with DASCA’s latest announcements and developments. Explore press releases, certification updates, expert insights on data science trends, and learn about DASCA’s global initiatives.

  • ☰
How To Become Certified SBDA™ | Download Brochure | DASCA

Enhance Your Data Expertise.
Master Advanced Insights.
Lead the Analytics Revolution.

The Senior Big Data Analyst (SBDA™) certification is a globally recognized, vendor-neutral credential tailored for mid-level professionals and analysts who want to excel in the field of data analytics. SBDA™ validates your ability to work with complex data sets, implement advanced analytics techniques, and deliver actionable insights that drive business success.

Whether you’re looking to enhance your current skills, move into senior roles, or refine your leadership in analytics, SBDA™ equips you with the knowledge, tools, and credibility to lead in a data-driven world.

With SBDA™, you demonstrate your ability to:

  • Work with structured, semi-structured, and unstructured data at scale.

  • Implement advanced analytics techniques to solve complex business problems.

  • Leverage data tools and platforms to lead impactful data-driven projects.

Discover how SBDA™ can enhance your analytics expertise and prepare you for impactful senior roles in data-driven organizations. Download your brochure and take the next step toward analytics leadership excellence!

By clicking on the “Submit” button, you agreeing to the DASCA’s Terms of Use and Privacy Policy.

Why Choose SBDA™?

  • Validated Skills in 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.

Elevate Your Career with SBDA™

Certified Senior Big Data Analysts are recognized as skilled professionals capable of solving complex data problems and delivering strategic insights. Whether you aim to become a Lead Data Analyst, Data Manager, or move into higher-level roles in analytics, SBDA™ equips you with advanced skills to succeed in the competitive job market.

Why Choose SBDA™

Ready to Take the Next Step?

Download the SBDA™ Program Brochure Today

Frequently Asked Questions

Is the SBDA™ certification globally accepted?

The SBDA™ (Senior Big Data Analyst) certification is globally accepted and recognized. It is built on a vendor‑neutral, cross‑platform framework that validates advanced analytics skills valued by employers around the world, and is designed to support senior and experienced data analytics roles across industries.

Who is the SBDA™ certification best suited for?

The SBDA™ is ideal for mid-career or experienced professionals who have foundational analytics knowledge and applied experience in data analysis, business intelligence, and reporting. It is designed for individuals seeking to advance into senior analytics, strategic decision-making, or leadership roles in data-driven organizations.

Does the SBDA™ exam coverage include business analytics and advanced statistical techniques?

Yes. The SBDA™ exam coverage includes both business analytics and advanced statistical techniques. It encompasses topics such as data-driven decision-making, KPI tracking, predictive modeling, statistical analysis, data visualization, and business intelligence tools. The program is structured to equip senior professionals with the skills to analyze complex datasets, generate actionable insights, and support strategic business decisions.

How many questions are included in the SBDA™ certification exam?

The SBDA™ (Senior Big Data Analyst) exam consists of 85 multiple‑choice questions, designed to assess your applied analytics knowledge across advanced domains. The exam is delivered online and proctored digitally.