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.

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    • 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.

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  • 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 ABDE™ | Download Brochure | DASCA

Kickstart Your Career in Data Engineering.
Master Foundational Skills.
Design Scalable Solutions.

The Associate Big Data Engineer (ABDE™) certification is designed for aspiring professionals and early-career engineers eager to enter the dynamic field of data engineering. ABDE™ validates your ability to work with fundamental data tools, design data pipelines, and build solutions that support data-driven business initiatives.

Whether you’re starting your career, upskilling for a new role, or transitioning into big data, ABDE™ equips you with the knowledge, tools, and credibility to succeed in this high-demand domain.

With ABDE™, you demonstrate your ability to:

  • Work with essential data tools and technologies to support data initiatives.

  • Collaborate with teams to optimize data flow and enhance system performance.

  • Apply foundational data engineering concepts to real-world challenges.

Discover how ABDE™ can help launch your data engineering career and position you for success in the growing field. Download your brochure and take the next step toward building a strong foundation in data engineering!

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

Why Choose ABDE™?

  • Validated Skills in Data Engineering

    Validated Skills in Data Engineering

    ABDE™ certifies your ability to work with foundational data engineering tools and techniques, enabling you to contribute to data initiatives across industries.

  • Comprehensive Knowledge Framework

    Comprehensive Knowledge Framework

    Aligned with the DASCA-EKF™ Framework, ABDE™ equips you with a solid understanding of data architecture, data pipelines, and cloud-based platforms.

  • Globally Recognized Credential

    Globally Recognized Credential

    Stand out with a certification trusted by employers in 180+ countries, showcasing your expertise in the global market.

  • Cross-Platform, Vendor-Neutral Proficiency

    Cross-Platform, Vendor-Neutral Proficiency

    ABDE™ ensures you are prepared to work with diverse data tools and platforms, making you adaptable to industry demands.

Who Is It For?

The ABDE™ certification is tailored for aspiring data engineers, early-career IT professionals, and individuals passionate about building a career in data engineering. It’s ideal for those eager to gain hands-on expertise in managing, designing, and deploying data systems to gain a competitive edge in the job market.

Eligibility Overview:

  • Educational Background: A Bachelor's degree in Computer Science, Data Science, Information Technology, Software Engineering, or a related discipline from a nationally or internationally accredited institution.
  • Professional Experience: Not mandatory, but basic proficiency in using modern programming languages (Python, Java, etc.) and an understanding of ETL pipelines or data workflows is expected.

Recommended Skills:

  • Basic programming knowledge in languages such as Python, Java, or SQL.
  • Familiarity with core database concepts or data management tools.
  • Interest in learning and applying technologies, such as Apache Airflow, Talend and dbt.

Elevate Your Career with ABDE™

Certified Associate Big Data Engineers are recognized as emerging professionals in building and optimizing data engineering systems. Whether you aim to become a Data Engineer, Data Developer, or advance into specialized engineering roles, ABDE™ provides you with the foundational skills necessary to excel in the data-driven world.

Why Choose ABDE™

Ready to Take the Next Step?

Download the ABDE™ Program Brochure Today

Frequently Asked Questions

Is ABDE™ suitable for engineering graduates and early-career professionals?

The ABDE™ (Associate Big Data Engineer) certification is ideal for engineering graduates and early-career professionals who want to build a strong foundation in data engineering. It covers essential skills such as data pipelines, databases, ETL processes, cloud-native platforms, and data architecture, which align closely with the technical and IT backgrounds. As a globally recognized entry-level credential, ABDE™ validates practical, industry-relevant skills, enhances employability for junior data engineering roles, and provides a pathway to advanced DASCA certifications such as SBDE™.

Does the ABDE™ exam coverage include hands-on data engineering fundamentals?

The ABDE™ exam coverage emphasizes hands-on application of core data engineering fundamentals. It covers practical domains such as ETL/ELT data pipelines, data ingestion and transformation, data storage and management, workflow orchestration, and data governance. The program also includes exposure to tools and frameworks like Apache Airflow, Talend, dbt, and working with structured and unstructured storage systems. Additionally, the exam coverage introduces candidates to AI/ML integration and modern data platforms, equipping them with the real-world skills for entry-level data engineering roles. For a detailed breakdown exam coverage, visit the ABDE™ certification page here.

What is the exam duration for the ABDE™ certification?

The ABDE™ (Associate Big Data Engineer) certification exam duration is 100 minutes. This standardized time frame allows candidates to comfortably complete all exam questions while maintaining a secure, remotely proctored testing environment.

How long does it take to prepare for the ABDE™ exam?

Preparation for the ABDE™ exam typically takes 8 to 12 weeks, depending on your background and experience with data engineering concepts. Candidates with experience in programming, databases, SQL, or basic data workflows may require less time, while beginners may benefit from a longer preparation period using the provided digital exam-preparation resources.

Following a consistent study plan with hands-on practice and mock exams helps ensure thorough understanding and exam readiness.

Can I prepare for ABDE™ while working full-time?

Yes. The ABDE™ exam is designed to support working professionals, with flexible and self-paced digital exam-preparation resources. With a structured study plan and regular practice, most full-time professionals are able to prepare effectively within 6 to 8 weeks. The modular learning structure, hands-on exercises, and mock exams make it easier to balance learning with a busy professional schedule while building job-ready data engineering skills.