How-To Trust Data
(Data Quality for Certification)
Data Quality for Certification
Course duration: 2 Days
Course Investment: International USD 540 / Local ZAR 6760 (Incl. VAT)
The Data Quality for Certification Course covers all the Data Quality aspects contained in the DMBOK V2 in detail, to prepare the candidate for the CDMP Data Quality Specialist examination. The second day is more practical, using PowerBI to do a Data Quality assessment.
The course expands on the DMBOK’s information in the areas of Critical Data and Data Quality Rule definition, Data Quality Dimensions and their underlying concepts and metrics, The Data Quality Improvement Cycle and the identification and remediation of many Data Quality issues.
Basic Statistical methods used in Data Quality, which are in the exam, are also covered.
How-to Trust Data (Data Quality)
The How-to Trust Data course is practical, and you will learn through exercises, group discussions, case studies, and lectures. There are Excel and PowerBI templates for many Data Quality deliverables which can be applied to your own work.
The How-to Trust Data course covers all the Data Quality aspects contained in the DMBOK V2 in detail, providing techniques for all the activities and templates for all the deliverables and in some cases the inputs.
The course expands on the DMBOK’s information in the areas of Critical Data and Data Quality Rule definition, Data Quality Dimensions and their underlying concepts and metrics, The Data Quality Improvement Cycle and the identification and remediation of many Data Quality issues.
Basic Statistical methods used in Data Quality are also covered.
Course Duration: 5 consecutive days
Course Investment: International USD 1230 / Local ZAR 15400 (Incl. VAT)
Format: Lecture, Group discussion, Practical exercises
Classroom Materials: Workbook, Templates, Case study
Delivery: CDMP® Master Certified Consultant
Class Size: 8 to 12 participants
Prerequisites: No experience necessary
The DMBOK describes WHAT must be done and in some cases WHY. This course will guide you in knowing HOW, WHERE and WHEN to perform the activities which produce the deliverables.
The course outcomes are:
Remember all details of the Data Quality knowledge area
Understand all elements of the Data Quality knowledge area
Apply knowledge area rules, concepts and activities
Analyse own Data Quality practice definition
Define
Operationalise
Assure
Evaluate a Data Quality establishment
Who should attend?
All Data Professionals as Data Quality is foundational knowledge
Anyone wishing to write the CDMP Data Quality Specialist exam
Do you need to write your DAMA CDMP Specialist exam? Join our Data Quality for Certification to get top notch preparation
Please contact Paul at sales@modelwaresystems.com to see how you can benefit with combining of the less practical Data Governance for Certification and Data Quality for Certification together!
