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CIMP Tracks

To meet CIMP academic requirements in a track, you must complete five courses from its curriculum, including the fundamentals course (F) and at least two core courses (C).


CIMP Courses (in alphabetical order)
CIMP Track
Data Quality
Data
Governance
Master Data
Management
Metadata
Management
Conceptual Data Modeling



Crafting the Business Case for Data Quality



Curating and Cataloging Data


C
Data Ethics & Responsible AI: Fundamentals



Data Governance for Business Leaders



Data Governance Fundamentals
F C
Data Parsing, Matching & De-duplication

C
Data Privacy and Protection Fundamentals
C C
Data Profiling C

C
Data Quality Assessment C

C
Data Quality Fundamentals F


Data Quality Scorecard C


Data Stewardship Fundamentals
C

Diagnostic Analytics Using Statistical Process Control



DW and BI Data Modeling



Ensuring Data Quality in Data Integration



Metadata Management Fundamentals

C F
How to Deploy Data Governance: Part 1
C

How to Deploy Data Governance: Part 2
C

Introduction to Graph Databases



Knowledge Graph Architecture for the Enterprise



Logical Data Modeling


C
MDM Fundamentals: Architecture and Implementation

F
Modernizing Data Governance



Organizing for Data Quality



Root Cause Analysis C


The Data Model Scorecard





In addition to the CIMP courses, several courses from other certification programs count as electives for various CIMP tracks, as shown below:


Non-CIMP Courses (in alphabetical order)
CIMP Track
Data Quality
Data
Governance
Master Data
Management
Metadata
Management
Data Governance for Data Stewards



Data Quality for Data Stewards



Metadata Management for Data Stewards