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 ABDA™ | Download Brochure | DASCA

Kickstart Your Data Analytics Career.
Master Data-Driven Insights.
Build the Future of Analytics.

The Associate Big Data Analyst (ABDA™) certification is a globally recognized, vendor-neutral credential designed for emerging professionals and students who aspire to build a career in data analytics. ABDA™ validates your ability to work with diverse data sets, perform data analysis, and contribute to organizational success through actionable insights.

Whether you are entering the workforce, enhancing your current skills, or transitioning into a data-focused role, ABDA™ equips you with the knowledge and credibility to stand out in the rapidly growing field of data analytics.

With ABDA™, you demonstrate your ability to:

  • Analyze, interpret, and work with structured and unstructured data.

  • Use data tools and techniques to derive actionable insights.

  • Support data-driven decision-making across industries.

Discover how ABDA™ can help launch your data analytics career and position you for success in the fast-evolving world of data-driven innovation. Download your brochure and begin your journey toward analytics excellence!

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

Why Choose ABDA™?

  • Validated Skills in Data Analytics

    Validated Skills in Data Analytics

    ABDA™ certifies your ability to analyze and interpret large data sets, empowering you to drive actionable insights across industries such as technology, healthcare, finance, and more.

  • Comprehensive Knowledge Framework

    Comprehensive Knowledge Framework

    Aligned with DASCA’s Essential Knowledge Framework (EKF™), ABDA™ equips you with the foundational skills needed in data tools, data visualization, and analytics techniques.

  • Globally Recognized Credential

    Globally Recognized Credential

    Showcase your capabilities with a certification respected by employers in 180+ countries, giving you an edge in the global analytics job market.

  • Cross-platform, Vendor-Neutral Expertise

    Cross-platform, Vendor-Neutral Expertise

    ABDA™ ensures you are prepared to work with a variety of data tools and platforms, making you adaptable and future-ready in a fast-evolving industry.

Who Is It For?

The ABDA™ certification is designed for aspiring data professionals, students, and early-career analysts who want to establish themselves in the growing field of data analytics. It’s perfect for individuals eager to develop a strong foundation in analytics and gain a competitive edge in the job market.

Eligibility Overview:

  • Educational Background: A Bachelor's degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Application, Engineering, Applied Sciences or related disciplines.
  • Professional Experience: Not mandatory, but candidates should have basic exposure to business analytics concepts, spreadsheet usage or simple dashboards (Excel, Google Sheets, or BI tools), and working with structured data.

Recommended Skills:

  • Familiarity with Excel, data visualization tools, or introductory statistics is beneficial but not mandatory.
  • A willingness to learn leading data tools and platforms, such as SQL, Tableau, Power BI, and Python, is key to success.
  • An analytical approach to problem-solving and a curiosity for data-driven insights are important traits for ABDA™ candidates.

Elevate Your Career with ABDA™

Certified Associate Big Data Analysts are recognized as rising talents in the field of data analytics. Whether you aim to become a Data Analyst or Data Specialist or move into advanced analytics roles, ABDA™ equips you with foundational skills to succeed.

Why Choose ABDA™

Ready to Take the Next Step?

Download the ABDA™ Program Brochure Today

Frequently Asked Questions

Is ABDA™ suitable for beginners, students, fresh graduates, or non-technical candidates?

Yes. The ABDA™ (Associate Big Data Analyst) certification is designed for beginners, students, fresh graduates, and non-technical professionals who want to build foundational capabilities in data analytics. It requires no prior work experience or advanced technical knowledge, making it ideal for those starting their career in analytics. The certification provides structured digital exam-preparation resources, helping candidates gain practical knowledge and readiness for entry-level analytics roles.

For more details on eligibility and candidacy tracks, visit here.

How is ABDA™ different from other entry-level data analytics certifications?

The ABDA™ (Associate Big Data Analyst) certification stands out because it is globally recognized, vendor-neutral, and aligned with industry-defined role expectations. Unlike many entry-level certifications that focus solely on theory or a single tool, ABDA™ covers core data analytics concepts, programming basics, statistical methods, and applied problem-solving through real-world scenarios. It also includes structured digital exam-preparation resources that help candidates practice and build practical readiness. ABDA™ serves as a gateway to advanced DASCA certifications, supporting structured career progression across analytics and data science roles.

What is the exam duration for ABDA™ certification?

The ABDA™ (Associate Big Data Analyst) certification exam is 100 minutes long and follows a multiple-choice, single-answer format designed to assess foundational data analytics knowledge and applied problem-solving ability. The exam is delivered online with digitally proctoring, and must be completed in one continuous session within the allotted time.

How difficult is the ABDA™ certification exam?

The ABDA™ (Associate Big Data Analyst) exam is designed for beginners and early-career professionals, making it moderately challenging. It evaluates foundational skills in data analytics, statistics, programming basics, and practical application through a multiple-choice questions in a single-answer format. Candidates who effectively use digital exam-preparation resources are well-prepared to succeed.

Is the ABDA™ exam online and proctored?

Yes, the ABDA™ certification exam is conducted online and is remotely proctored to ensure integrity and standardization. Candidates can take the exam from their preferred location, provided they meet the technical requirements for online monitoring. This flexible approach allows learners worldwide to access the certification without needing to travel to a testing center.

Does ABDA™ provide learning resources and mock exams for preparation?

Yes, DASCA provides structured digital exam-preparation resources for ABDA™ candidates, including study guides, reference materials, and practice exercises. Mock exams are also available to help candidates familiarize themselves with the question format, time management, and difficulty level. These resources ensure candidates are well-prepared and confident for the certification exam.

How long does it take to prepare for ABDA™?

Preparation time for the ABDA™ (Associate Big Data Analyst) exam depends on your prior knowledge and experience. For beginners, it typically takes 2–3 months of focused study, using digital exam-preparation resources, including study guides, practice exercises, and sample questions. Candidates with some analytics background may require less time.

Can I prepare for ABDA™ while studying or working?

Yes. The ABDA™ (Associate Big Data Analyst) certification is designed for flexible, self-paced learning, making it ideal for students and working professionals. With digital exam-preparation resources, you can study at your own pace, balance preparation with work or academic commitments, and build the skills needed to confidently pass the exam.