Choosing Your DASCA Credential

The ABDE™ program builds a strong, platform-agnostic foundation in data engineering for today’s data science and analytics ecosystems. It equips candidates to design, build, and maintain reliable, scalable, and secure data pipelines covering ingestion, storage, orchestration, governance, and integration with advanced analytics, AI, and generative AI systems. Candidates gain practical exposure to industry-standard tools and frameworks for data processing, modeling, real-time streaming, and AI/ML infrastructure, enabling them to contribute effectively to modern, data-driven enterprises.

The ABDE™ certification exam evaluates proficiency across the following domains:

• Data Ingestion & Transformation – 25%
• Data Storage & Management – 20%
• Data Pipeline Orchestration & Monitoring – 15%
• Data Security & Governance – 15%
• Data Modeling & Architecture – 10%
• Streaming Data Processing – 5%
• AI/ML Integration Overview – 5%
• Generative AI & LLM Operations Overview – 5%

Ideal for candidates completing or holding a Bachelor’s Degree, Associate Degree, or Diploma in Computer Science, Data Science, Information Technology, Software Engineering, or a related discipline from a nationally or internationally accredited institution. Applicants should demonstrate basic proficiency in at least one programming language such as Python, Java, or equivalent, along with an understanding of fundamental data structures, algorithms, and database concepts.

The ABDE™ certification program fee is USD 750 (one-time) and includes one exam attempt, access to structured digital learning resources via DataScienceSkool, a DASCA-issued digital badge, and the credential kit comprising a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with shipping and handling.

The SBDE™ program validates advanced expertise in designing, building, and optimizing complex data engineering solutions for enterprise-scale data science and analytics environments. It prepares professionals to lead the architecture and delivery of robust, secure, and scalable data systems covering advanced data ingestion, storage optimization, pipeline orchestration, governance frameworks, and integration with AI, machine learning, and generative AI workflows. Participants master strategies for high-performance data modeling, real-time streaming, and advanced orchestration, ensuring they can deliver reliable, business-critical data at scale.

The SBDE™ certification exam evaluates proficiency across the following domains:

• Data Ingestion & Transformation – 15%
• Data Storage & Management – 15%
• Data Pipeline Orchestration & Monitoring – 20%
• Data Security & Governance – 10%
• Data Modeling & Architecture – 20%
• Streaming Data Processing – 10%
• AI/ML Integration Overview – 5%
• Generative AI & LLM Operations Overview – 5%

The SBDE™ is ideal for experienced professionals holding a Bachelor’s or Master’s Degree in Computer Science, Data Science, Information Technology, Software Engineering, Applied Sciences, or related disciplines, from a nationally or internationally accredited institution, along with substantial hands-on experience in data engineering or related domains. Candidates should demonstrate proficiency in programming languages such as Python, Java, or equivalent, and be adept in database systems, distributed computing frameworks, and cloud data services.

The SBDE™ certification program fee is USD 875 (one-time) and includes one exam attempt, access to structured digital learning resources via DataScienceSkool, a DASCA-issued digital badge, and the credential kit comprising a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with shipping and handling.

The ABDA™ program builds a strong foundation in business analytics, data visualization, and practical data manipulation for today’s data-driven enterprises. It prepares professionals to work with structured and semi-structured data, extract insights, and communicate findings effectively to stakeholders. Coverage includes analytics fundamentals, data visualization and storytelling, SQL and Python for analysis, business analysis tools, decision-making frameworks, and an introduction to automation, industry-specific analytics, and generative AI in analytics.

The ABDA™ certification exam evaluates proficiency across the following domains:

• Business Analytics Fundamentals – 15%
• Data Visualization & Storytelling – 20%
• Data Manipulation & SQL/Python – 20%
• Business Analysis Tools & Methods – 15%
• Data-Driven Decision Making – 10%
• Analytics Platforms & Data Systems – 10%
• Advanced Analytics & Automation – 5%
• Industry-Specific Analytics – 3%
• Generative AI in Data Analytics – 2%

Ideal for candidates completing or holding a Bachelor’s Degree, Associate Degree, or Diploma in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, or related disciplines from a nationally or internationally accredited institution. Applicants should demonstrate basic proficiency in spreadsheets, data analysis tools, and at least one query or scripting language such as SQL or Python.

The ABDA™ certification program fee is USD 750 (one-time) and includes one exam attempt, access to structured digital learning resources via DataScienceSkool, a DASCA-issued digital badge, and the credential kit comprising a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with shipping and handling.

The SBDA™ program validates advanced skills in business analytics, data storytelling, automation, and industry-specific analytics applications. It is designed for experienced analysts ready to lead analytical projects, integrate advanced methods, and influence strategic decision-making. Coverage spans advanced data modeling, visualization, automation, AI integration, and generative AI applications for analytics, along with deeper capabilities in industry-specific metrics and performance measurement.

The SBDA™ certification exam evaluates proficiency across the following domains:

• Business Analytics Fundamentals – 10%
• Data Visualization & Storytelling – 15%
• Data Manipulation & SQL/Python – 15%
• Business Analysis Tools & Methods – 10%
• Data-Driven Decision Making – 15%
• Analytics Platforms & Data Systems – 12%
• Advanced Analytics & Automation – 10%
• Industry-Specific Analytics – 5%
• Generative AI in Data Analytics – 8%

Ideal for experienced professionals with a Bachelor’s or Master’s Degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, or related disciplines from a nationally or internationally accredited institution, along with hands-on experience in analytics or business intelligence. Candidates should be proficient in SQL and Python, comfortable working with large datasets, and experienced in using visualization and reporting tools to communicate insights.

The SBDA™ certification program fee is USD 875 (one-time) and includes one exam attempt, access to structured digital learning resources via DataScienceSkool, a DASCA-issued digital badge, and the credential kit comprising a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with shipping and handling.

The SDS™ program validates advanced expertise in data science, analytics, and AI for business impact. It prepares professionals to lead high-value analytics initiatives, apply advanced statistical and machine learning methods, and integrate data-driven solutions into enterprise environments. Coverage includes business-driven data science applications, data science essentials, big data and cloud platforms, advanced data science with generative AI, and MLOps for scalable, ethical AI deployment.

The SDS™ certification exam evaluates proficiency across the following domains:

• Data Science Applications & Driving Business Through Analytics – 25%
• Data Science Essentials – 30%
• Big Data & Cloud Platforms – 15%
• Advanced Data Science & Generative AI – 15%
• MLOps & Functional Framework – 15%

Ideal for experienced professionals holding a Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, or related disciplines, along with substantial hands-on experience in analytics, machine learning, or AI development. Candidates should have proficiency in Python and familiarity with SQL, be comfortable working with large datasets and cloud-based platforms, and possess strong business communication skills for presenting data-driven recommendations.

The SDS™ certification program fee is USD 950 (one-time) and includes one exam attempt, access to structured digital learning resources via DataScienceSkool, a DASCA-issued digital badge, and the credential kit comprising a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet, along with shipping and handling.