eLearningCurve

Curricula-At-A-Glance

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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 (CIMP) or Certified Data Steward (CDS) designations.

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.

Curriculum	Course and Instructor(s)	Sneak Peek
Information Management Foundations	Information Management Fundamentals by David Wells
	Fundamentals of Data Modeling and Metadata Mgmt by David Wells & Arkady Maydanchik
	Data Quality Fundamentals by David Wells
	Data Governance Fundamentals by Theresa Kushner & Maria Villar
	Data Integration Fundamentals and Best Practices by Dave Wells
	MDM Fundamentals and Best Practice by Andy Hayler
	Data Warehousing Fundamentals by Mark Peco
	Fundamentals of Business Intelligence by Mark Peco
	Fundamentals of Predictive Analytics by Eric Siegel
	Big Data Fundamentals by William McKnight & Jake Dolezal
Data Quality	Data Quality Fundamentals by David Wells
	Data Profiling by Arkady Maydanchik
	Data Parsing, Matching & De-duplication by Kathy Hunter, William McKnight, Henrik Sørensen
	Data Quality Assessment by Arkady Maydanchik
	Root Cause Analysis by
	Ensuring Data Quality in Data Integration by Arkady Maydanchik
	Diagnostic Analytics Using Statistical Process Control by Mark Peco
	Crafting the Business Case Data Quality by Tom Redman
	Organizing for Data Quality by Tom Redman
	Data Stewardship Fundamentals by Maria Villar
	Data Governance Fundamentals by Theresa Kushner & Maria Villar
Data Governance	Data Governance Fundamentals by Theresa Kushner &Maria Villar
	How to Deploy and Sustain Data Governance by John Ladley
	Data Governance for Business Leaders by John Ladley
	Data Stewardship Fundamentals by Maria Villar
	Data Quality Fundamentals by David Wells
	Information Management Fundamentals by David Wells
	Crafting the Business Case Data Quality by Tom Redman
	Creating and Implementing a Data Strategy by Sid Adelman
	Best Practices in Data Resource Management by Mike Brackett
	Root Cause Analysis by David Wells
Data Integration	Data Integration Fundamentals by Dave Wells
	Data Warehousing Fundamentals by Mark Peco
	MDM Architecture and Implementation by
	Data Virtualization by Dave Wells
	Ensuring Data Quality in Data Integration by Arkady Maydanchik
	Fundamentals of Data Modeling and Metadata Management by David Wells & Arkady Maydanchik
	Data Profiling by Arkady Maydanchik
	Data Integration Techniques for Designing an ODS by Angelo Bobak
	Data Parsing, Matching, and De-duplication by Kathy Hunter, William McKnight, Henrik Sørensen
	Data Quality Assessment by Arkady Maydanchik
	Big Data Fundamentals by William McKnight & Jake Dolezal
Data Stewardship	Data Stewardship Core by Maria Villar & David Wells
	Data Quality for Data Stewards by David Wells & Arkady Maydanchik
	Data Governance for Data Stewards by Maria Villar, John Ladley, Theresa Kushner
	Metadata Mgmt for Data Stewards by David Wells, Mike Brackett, Arkady Maydanchik
	MDM for Data Stewards by Andy Hayler, William McKnight,
Master Data Management	MDM Fundamentals and Best Practice by Andy Hayler
	MDM Architecture and Implementation by William McKnight
	Data Parsing, Matching & De-duplication by Kathy Hunter, William McKnight, Henrik Sørensen
	Data Virtualization by Dave Wells
	Data Governance Fundamentals by Theresa Kushner & Maria Villar
	Data Profiling by Arkady Maydanchik
	Data Quality Assessment by Arkady Maydanchik
	Ensuring Data Quality in Data Integration by Arkady Maydanchik
	MDM: Selecting a Vendor by Andy Hayler
	Fundamentals of Data Modeling and Metadata Mgmt by David Wells & Arkady Maydanchik
Business Intelligence	Fundamentals of Business Intelligence by Mark Peco
	BI Requirements Gathering and Management by Jonathan Geiger
	BI Program and Project Management by Jonathan Geiger
	Understanding and Evaluating the BI Platform by Cindi Howson
	Fundamentals of Predictive Analytics by Eric Siegel
	Data Warehousing Fundamentals by Mark Peco
	Root Cause Analysis by David Wells
	Assessing Business Intelligence Operations by Dorothy Miller
	Big Data Fundamentals by William McKnight & Jake Dolezal
	Building and Operating a Data Warehouse by Mark Peco
	Location Intelligence and GIS by George Williams and K-Y Su
	Data Mining Concepts & Techniques by Deanne Larson
	Analytics-based Performance Management by Gary Cokins
Data Modeling & Metadata Management	Fundamentals of Data Modeling and Metadata Mgmt by Dave Wells & Arkady Maydanchik
	Logical Data Modeling by David Haertzen
	DW and BI Data Modeling by Rick Sherman
	Conceptual Data Modeling by David Haertzen
	Data Virtualization by David Wells
	Data Integration Techniques for Designing an ODS by Angelo Bobak
	The Data Model Scorecard by Steve Hoberman
	Data Profiling by Arkady Maydanchik
	Data Quality Assessment by Arkady Maydanchik
	Best Practices in Data Resource Management by Mike Brackett
	Data Parsing, Matching & De-duplication by Kathy Hunter, William McKnight, Henrik Sørensen
	Metadata Management for Data Stewards by Dave Wells, Mike Brackett, Arkady Maydanchik
Data Warehousing
	Data Warehousing Fundamentals by Mark Peco
	Building and Operating at Data Warehouse by Mark Peco
	DW & BI Data Modeling by Rick Sherman
	Data Integration Fundamentals by Dave Wells
	Data Quality Fundamentals by Dave Wells
	Data Integration Techniques for Designing an ODS by Angelo Bobak
	Data Parsing, Matching, and De-duplication by Kathy Hunter, William McKnight, Henrik Sørensen
	Data Profiling by Arkady Maydanchik
	Data Virtualization by Dave Wells
	Ensuring Data Quality in Data Integration by Arkady Maydanchik
Business Analytics	Analytics Fundamentals by Mark Peco & Dave Wells
	Fundamentals of Predictive Analytics by Eric Siegel
	Prescriptive Analytics by Mark Peco
	Data Mining Concepts and Techniques by Deanne Larson
	Location Intelligence and GIS by George Williams & K-Y Su
	Diagnostic Analytics by Mark Peco
	Business Analytics Practices and Applications by Bonnie Politano
	Root Cause Analysis by Dave Wells
	Web Analtyics by Jake Dolezal
	Data Mining in R by Deanne Larson
	Introduction to NoSQL by William McKnight
	Analytics-based Performance Management by Gary Cokins