Certified Big Data and Data Analytics Practitioner (CBDDAP)

This course uses facilitator-led interactive sessions with practical business explanations, complemented by group discussions that share experiences and address real organizational challenges. Effective learning is reinforced through real-world big data and analytics case studies, scenario-based problem solving, and regular knowledge checks to strengthen understanding and consolidate key concepts.

By the end of the course, participants will be able to:

• Explain core big data and data analytics concepts, enabling informed participation in data-driven discussions and initiatives
• Identify appropriate big data platforms and architectures, supporting effective technology selection aligned with business requirements
• Apply distributed data storage and processing principles, improving the ability to design scalable and resilient data solutions
• Evaluate cloud-based big data solutions and deployment options, supporting cost-effective and scalable implementation decisions
• Design high-level big data and analytics architectures, enabling alignment between technical solutions and organizational objectives 

This course is designed for data analysts, business analysts, data engineers, analytics engineers, business intelligence professionals, solution architects, and technology managers who are involved in data-driven decision making and analytics initiatives.

It is also suitable for IT managers, digital transformation leads, cloud and data platform specialists, and project managers responsible for implementing or overseeing big data, analytics, and cloud data platforms. Furthermore, the course supports professionals in transition toward data and analytics roles, including consultants and technical professionals supporting enterprise data, analytics, and Artificial Intelligence initiatives.

• Big data architecture
• Distributed data processing
• Cloud-based data platform design
• Data-driven decision making
• Analytical thinking