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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) designation or Certified Data Steward (CDS) designation.

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
Diana Ascher	Data Ethics & Responsible AI: Fundamentals
Dean Allemang	Knowledge Graph Architecture for the Enterprise
Natasha Balac	Data Science Fundamentals (with Mark Peco)
	AI Fundamentals
Angelo Bobak	Data Integration Techniques for Designing an ODS
John Bottega	DCAM: Data Management Capability Assessment Model (with Colin Gibson & Mark McQueen)
Mike Brackett	Metadata Management for Data Stewards (with Arkady Maydanchik & Dave Wells)
Gary Cokins	Analytics-based Enterprise Performance Management
Jake Dolezal	Big Data Fundamentals (with William McKnight)
	Web Analytics
Colin Gibson	DCAM: Data Management Capability Assessment Model (with John Bottega & Mark McQueen)
David Haertzen	Conceptual Data Modeling
	Logical Data Modeling
Steve Hoberman	The Data Model Scorecard
Kathy Hunter	Data Parsing, Matching & De-duplication
	MDM for Data Stewards (with Andy Hayler & William McKnight)
Theresa Kushner	Data Governance Fundamentals (with Maria Villar & David Wells)
John Ladley	Data Governance for Business Leaders
	How to Deploy and Sustain Data Governance
	Data Governance for Data Stewards (with Maria Villar & David Wells)
Deanne Larson	Data Mining in R
	Data Mining Concepts & Techniques
	Data Literacy Basics (with Mark Peco and David Wells)
	Data Literacy for Data Analysts (with Mark Peco and David Wells)
	Framing and Planning Data Science Projects
	Data Understanding and Preparation for Data Science
	Analytical Modeling, Evaluation, and Deployment Best Practices
	Data Analytics for Data Stewards (with Mark Peco and Eric Siegel)
Evan Levy	Data Privacy and Protection Fundamentals
Jennifer Leo	Putting the Science in Data Science: Fundamentals of Research Methods
Arkady Maydanchik	Data Profiling
	Data Quality Assessment
	Ensuring Data Quality in Data Integration
	Metadata Management Fundamentals (with David Wells)
	Data Quality for Data Stewards (with David Wells)
	Metadata Management for Data Stewards (with David Wells & Mike Brackett)
Olga Maydanchik	Data Quality Scorecard
William McKnight	MDM Fundamentals: Architecture and Implementation
	Data Parsing, Matching & De-duplication (with Kathy Hunter & Henrik Sørensen)
	MDM for Data Stewards (with Andy Hayler & Kathy Hunter)
	Big Data Fundamentals (with Jake Dolezal)
	Introduction to NoSQL
Mark McQueen	DCAM: Data Management Capability Assessment Model (with Colin Gibson & John Bottega)
Kevin Petrie	Streaming Data: Concepts, Applications, and Technologies (with Dave Wells)
Mark Peco	Analytics Fundamentals (with Dave Wells)
	Data Architecture Fundamentals (with Dave Wells)
	Data Science Fundamentals (with Natasha Balac)
	Data Warehousing Fundamentals
	Data Literacy Basics (with Deanne Larson and David Wells)
	Data Literacy for Data Managers (with David Wells)
	Data Literacy for Data Analysts (with Deanne Larson and David Wells)
	Diagnostic Analytics Using Statistical Process Control
	Fundamentals of Business Intelligence
	Prescriptive Analytics Using Simulation Models
	Data Analytics for Data Stewards (with Deanne Larson and Eric Siegel)
	Data Visualization & Storytelling
	Data Analysis Fundamentals (with Dave Wells)
Tom Redman	Crafting the Business Case for Data Quality
	Organizing for Data Quality
Asha Saxena	Fundamentals of Machine Learning
Rick Sherman	DW and BI Data Modeling
Eric Siegel	Fundamentals of Predictive Analytics
	Data Analytics for Data Stewards (with Mark Peco and Deanne Larson)
John Singer	Introduction to Graph Databases
Henrik Sørensen	Data Parsing, Matching & De-duplication (with William McKnight & Kathy Hunter)
K-Y Su	Location Intelligence and Geographic Information Systems (with George Williams)
Jed Summerton	Designing and Implementing Analytics Data Architecture (with Dave Wells)
Maria Villar	Data Governance Fundamentals (with Theresa Kushner and David Wells)
	Data Stewardship Fundamentals
	Data Stewardship Core (with David Wells)
	Data Governance for Data Stewards (with John Ladley & David Wells)
David Wells
	Analytics Fundamentals (with Mark Peco)
	Data Architecture Fundamentals (with Mark Peco)
	Information Management Fundamentals
	Data Quality Fundamentals
	Metadata Management Fundamentals (with Arkady Maydanchik)
	Data Literacy Basics (with Deanne Larson and Mark Peco)
	Data Literacy for Data Managers (with Mark Peco)
	Data Literacy for Data Analysts (with Deanne Larson and Mark Peco)
	Data Literacy Primer
	Root Cause Analysis
	Data Stewardship Core (with Maria Villar)
	Data Quality for Data Stewards (with Arkady Maydanchik)
	Metadata Management for Data Stewards (with Arkady Maydanchik & Mike Brackett)
	Data Governance Fundamentals (with Maria Villar & Theresa Kushner)
	Data Governance for Data Stewards (with Maria Villar & John Ladley)
	Curating and Cataloging Data
	Modernizing Data Governance
	Streaming Data: Concepts, Applications, and Technologies (with Kevin Petrie)
	Data Analysis Fundamentals (with Mark Peco)
	Designing and Implementing an Analytics Architecture (with Jed Summerton)
George Williams	Location Intelligence and Geographic Information Systems (with K-Y Su)