eLearningCurve

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eLearningCurve offers a comprehensive online education and certification program in various disciplines of information management, from fundamentals to advanced topics. New courses are developed and released on an on-going basis. You can purchase the courses individually or enroll in one of our Education Programs at a great discount. You can also cap your education with Certified Information Management Professional designation by taking optional CIMP exams or with Certified Data Steward designation by taking the CDS exam.

Explore our curriculum using the links below or simply click on the icons in the rightmost column to see the instructors talk about their courses and get the firsthand experience from the short course Sneak Peeks.

Instructor	Courses	Sneak Peek
Sid Adelman	Creating and Implementing a Data Strategy
Mike Brackett	Best Practices in Data Resource Management
	The Data Stewardship Guide
David Haertzen	Conceptual Data Modeling
	Logical Data Modeling
Andy Hayler	MDM Fundamentals and Best Practice
	MDM: Selecting a Vendor
Steve Hoberman	The Data Model Scorecard
Kathy Hunter	Overcoming the Challenges of Global Data
Theresa Kushner	Data Governance Fundamentals
John Ladley	Data Governance for Business Leaders
	The Data Stewardship Guide
Arkady Maydanchik	Data Quality Assessment
	Data Profiling
	Ensuring Data Quality in Data Integration
	Fundamentals of Data Modeling and Metadata Management
	The Data Stewardship Guide
William McKnight	MDM Architecture and Implementation
Dorothy Miller	Assessing Business Intelligence Operations
Mark Peco	Data Warehousing Fundamentals
	Fundamentals of Business Intelligence
	Statistical Process Control
Tom Redman	Organizing for Data Quality
	The Data Stewardship Guide
Rick Sherman	DW and BI Data Modeling
Eric Siegel	Fundamentals of Predictive Analytics
Maria Villar	Data Governance Fundamentals
	Data Stewardship Fundamentals
	The Data Stewardship Guide
David Wells	Data Quality Fundamentals
	Fundamentals of Data Modeling and Metadata Management
	Information Management Fundamentals
	Root Cause Analysis
	The Data Stewardship Guide