Data Science, Machine Learning, and Big Data provides an overview of how advanced data practices fit into modern data management strategies. Drawing on Chapter 14 of the DMBOK2 Revised Edition, the course covers the “V’s” of big data, the data science lifecycle, and techniques such as supervised and unsupervised learning. Learners will also examine architectural considerations for handling high-volume, high-velocity data and the role of unstructured data analytics. This course builds the foundation for understanding how emerging technologies intersect with core data management principles, ensuring professionals are prepared for both practice and CDMP exam requirements.

Course Highlights

This course offers:

• 36 minutes of expert-led video instruction (self-paced, on-demand)
• 17 CDMP-style exam questions aligned to course content
• Interactive knowledge checks after each module to reinforce learning
• Real-world examples and applied frameworks that connect theory to practice
• Guidance aligned with the DAMA DMBOK2 Revised Edition
• Access to live study groups led by a DAMA International–certified CDMP Master for additional support
• Exclusive exam discount: Receive 20% off your CDMP certification exam when you train with DATAVERSITY (online or at a DATAVERSITY conference)
• 1.5 CEU credits earned as part of the full program
• Course Price: $109
• Full Learning Plan Price: $1599
• Full Learning Plan CEUs: 24

By the end of this course, you’ll be able to:

• Understand the “V’s” of big data and the data science lifecycle
• Differentiate between supervised and unsupervised learning
• Recognize architectures for high-volume, high-velocity data
• Apply big data and ML concepts tested on the CDMP exam

Why Take This Course?

Understand advanced data practices tested on the CDMP exam while exploring their real-world applications. This course helps you connect emerging technologies with foundational data management principles.

Is This Course Right for You or Your Team?
This course is for professionals bridging advanced analytics with data management. It’s especially valuable for:

• Data scientists and analytics professionals
• Engineers working with large-scale or unstructured data
• Business leaders evaluating the role of emerging technologies
• Exam candidates needing familiarity with big data and ML concepts

Backed by Industry Leaders

DATAVERSITY – An internationally respected leader in data management education, providing trusted training, conferences, and industry insights. DATAVERSITY is one of the few DAMA-endorsed CDMP training providers globally.