Online Live Remote Training

CDMP Exam Preparation 

Data Management Fundamentals

About this course

The course addresses ALL disciplines as identified by the international standard, DAMA (www.dama.org) Body of Knowledge (DMBOK2) and is aimed to individuals interested in consolidating professionalism in the field of Data Management. This course, dedicated to experienced professionals, helps to consolidate the foundation of the different information disciplines across the complete Data Management spectrum and introduces students to the different levels of Industry professional certification the DAMA Certified Data Management Professional (CDMP)

Become a Certified Data Professional

The course addresses ALL disciplines as identified by the international standard, DAMA Body of Knowledge (DMBOK2).
Learners will be provided with the knowledge, methods and techniques focused to gain familiarity with the CDMP examination format.
Individual purchase
Description
multiple lines text
Empty space, drag to resize
Choose your payment method

What's included?

  • 15 Topics Covered
  • 60+ Practice Questions
  • 15 PDF
  • 1 soft copy of the DMBOK2 
  • Attendance Certificate 
  • optional CDMP Exam voucher to be spent on cdmp.info platform

Format

Remote Learning with Trainer

Duration

3 days - 18 hours 

Languages

Trainer Spoken Language: 
English
Course materials are available in:
English
Meet the Course Instructor

Filippo Candela

PhD in Psychology and certified PMP, Filippo spent over 10 years in Data Management and Analysis working with universities, companies and non-profit organizations to support organizational innovation through data valorisation.
Patrick Jones - Course author
Meet the Course Designer and Instructor

Michele Valentini

Head of FIT Academy Training Services, he takes care of the planning, customization and development of the contents of the entire Courses offer. PHD in mathematics, after having worked as a teacher he moved to the world of consulting where he faced several Data Management projects, in particular in the field of Data Quality and Data Modeling.
Patrick Jones - Course author