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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.

Course	Instructor(s)	Sneak Peek
AI Fundamentals	Natasha Balac
Analytical Modeling, Evaluation, and Deployment Best Practices	Deanne Larson
Analytics-based Enterprise Performance Management	Gary Cokins
Analytics Fundamentals	Mark Peco & Dave Wells
Big Data Fundamentals	William McKnight & Jake Dolezal
Conceptual Data Modeling	David Haertzen
Crafting the Business Case for Data Quality	Tom Redman
Curating and Cataloging Data	Dave Wells
Data Analysis Fundamentals	Dave Wells & Mark Peco
Data Analytics for Data Stewards	Mark Peco, Deanne Larson, Eric Siegel
Data Architecture Fundamentals	Mark Peco, Dave Wells
Data Ethics & Responsible AI: Fundamentals	Diana Ascher
Data Governance for Business Leaders	John Ladley
Data Governance for Data Stewards	Maria Villar, John Ladley, Dave Wells
Data Governance Fundamentals	Maria Villar, Theresa Kushner, Dave Wells, Jed Summerton, Evan Levy, Tom Redman
Data Integration Techniques for Designing an ODS	Angelo Bobak
Data Literacy Basics	Deanne Larson, Mark Peco & Dave Wells
Data Literacy in Data Analysis	Deanne Larson, Mark Peco & Dave Wells
Data Literacy in Data Management	Mark Peco & Dave Wells
Data Literacy Primer	Dave Wells
Data Mining Concepts & Techniques	Deanne Larson
Data Mining in R	Deanne Larson
The Data Model Scorecard	Steve Hoberman
Data Modeling Fundamentals	Dave Wells
Data Parsing, Matching & De-duplication	William McKnight, Henrik Sørensen & Kathy Hunter
Data Privacy and Protection Fundamentals	Evan Levy
Data Profiling	Arkady Maydanchik
Data Quality Assessment	Arkady Maydanchik
Data Quality for Data Stewards	David Wells & Arkady Maydanchik
Data Quality Fundamentals	David Wells
Data Quality Scorecard	Olga Maydanchik
Data Quality Specialist	Michele Valentini
Data Science Fundamentals	Mark Peco & Natasha Balac
Data Stewardship Fundamentals	Maria Villar & David Wells
Data Understanding and Preparation for Data Science	Deanne Larson
Data Visualization & Storytelling	Mark Peco
Data Warehousing Fundamentals	Mark Peco
Deciphering Data Architectures	James Serra
Designing and Implementing Analytics Data Architecture	Dave Wells and Jed Summerton
Diagnostic Analytics Using Statistical Process Control	Mark Peco
DW and BI Data Modeling	Rick Sherman
Ensuring Data Quality in Data Integration	Arkady Maydanchik
Framing and Planning Data Science Projects	Deanne Larson
Fundamentals of Business Intelligence	Mark Peco
Fundamentals of Machine Learning	Asha Saxena
Fundamentals of Predictive Analytics	Eric Siegel
How to Deploy Data Governance: Part 1	John Ladley
How to Deploy Data Governance: Part 2	John Ladley
Introduction to Graph Databases	John Singer
Introduction to NoSQL	William McKnight
Knowledge Graph Architecture for the Enterprise	Dean Allemang
Location Intelligence and GIS	George Williams and K-Y Su
Logical Data Modeling	David Haertzen
MDM for Data Stewards	William McKnight & Kathy Hunter
MDM Fundamentals: Architecture and Implementation	William McKnight
Metadata Management for Data Stewards	David Wells, Mike Brackett & Arkady Maydanchik
Metadata Management Fundamentals	David Wells & Arkady Maydanchik
Modernizing Data Governance	David Wells
Operational Data Architecture, Part 1: The Operational Data Landscape	Angelo Bobak
Operational Data Architecture, Part 2: Architectural Data Management	Angelo Bobak
Organizing for Data Quality	Tom Redman
Prescriptive Analytics Using Simulation Models	Mark Peco
Putting the Science in Data Science: Fundamentals of Research Methods	Jennifer Leo
Root Cause Analysis	David Wells
Streaming Data: Concepts, Applications, and Technologies	Dave Wells and Kevin Petrie
Web Analytics	Jake Dolezal