The Big Data Science Certified Professional (BDSCP) program is comprised of 15 vendo-neutral Big Data course modules.

Training is available via private and public on-site and virtual workshops and self-paced study kits and eLearning video subscriptions.

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Training Goals

The Big Data Science Certified Professional (BDSCP) program is dedicated to excellence in the fields of Big Data science, analysis, analytics, business intelligence, and technology architecture, as well as design, development, and governance.

Founded by best-selling author Thomas Erl, this curriculum enables IT professionals to develop real-world Big Data science proficiency. Because of the vendor-neutral focus of the course materials, the skills acquired by attaining certifications are applicable to any vendor or open-source platform.


Program Structure

A collection of 15 courses establishes a set of 7 vendor-neutral industry certifications with different areas of specialization.

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Fundamental Big Data

Foundational course that establishes a basic understanding of Big Data from business and technology perspectives, including common benefits, challenges and adoption issues.

Big Data Analysis & Technology Concepts

Big Data Analysis & Technology Lab

Fundamental Big Data Analysis & Science

Advanced Big Data Analysis & Science

Big Data Analysis & Science Lab

Fundamental Big Data Engineering

Advanced Big Data Engineering

Big Data Engineering Lab

Fundamental Big Data Architecture

Advanced Big Data Architecture

Big Data Architecture Lab

Fundamental Big Data Governance

Advanced Big Data Governance

Big Data Governance Lab

Our team

Our team is passionate about empowering professionals through education because we believe that everyone deserves access to quality training that fits into their busy lives – no matter how technical or non-technical they may be! 


Isaac Oteng


Philippa Botchey


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(+233) 540 127 400

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