Data Quality Fundamentals
Data quality is a large and complex field with many dimensions. This 4.5-hour course provides an overview of the field of data quality with the goal of building strong foundational knowledge, including terminology, concepts, principles, processes, and practices.
Instructor: David Wells
(144)
Data Governance Fundamentals
This 5-hour course provides and overview of the disciplines of governing data, covers the essential components of an enterprise-wide program, and outlines a roadmap to execute a successful data governance program. An extensive case study illustrates data governance concepts, principles, and practices.
Instructors: Maria Villar, Theresa Kushner, Dave Wells
(73)
Information Management Fundamentals
Information Management is a broad and diverse field that encompasses 14 distinct disciplines. Even seasoned IM professionals don’t typically have knowledge of and experience in all of the disciplines. This 5.5-hour course provides a high-level view across the entire scope of information management.
Instructor: David Wells
(93)
Metadata Management Fundamentals
This 4-hour course is designed
to provide the foundational metadata knowledge needed by anyone who has
data management roles and responsibilities. It covers metadata basics such as the
types and purposes of metadata, and explores core metadata disciplines
of data modeling, data profiling, and data cataloging.
Instructors: David Wells and Arkady Maydanchik
(32)
Analytics Fundamentals
This 6-hour online course provides a foundation to understand the scope and the key success factors of analytics. Concepts and terminology are introduced, and scope of analytics is
discussed to set context and provide a frame of reference for topics
that follow.
Instructor: Mark Peco and Dave Wells
(3)
Curating and Cataloging Data
This 3-hour online training course will explore how curating and cataloging work together to meet the data needs of business and data analysts, to provide self-service data to complement self-service analytics, and to realize the promise of democratizing data analytics.
Instructor: Dave Wells
(1)
Modernizing Data Governance
This 3-hour online training explores how governance fits within modern data ecosystems, from point of ingestion to reporting and analysis.
Instructor: Dave Wells
Root Cause Analysis
Understanding why things happen is a fundamental management skill. Through this 4-hour course you will discover the art and science of knowing why. Learn to apply linear thinking, lateral thinking, systems thinking, and critical thinking – independently and in combination – to get to the core of even the most vexing problems.
Instructor: David Wells
(45)
Data Virtualization
Data virtualization is a core component of next-generation data integration architectures, techniques, and technology. This 3-hour online training course will introduce you to the concepts, techniques, and capabilities of data virtualization.
Instructor: Dave Wells
(7)
Data Stewardship Fundamentals
The objective of this 5-hour 15-minute course is to build a foundation of knowledge for the Data Stewards. It covers topics ranging from basic terminology, roles and responsibilities and best practices of data stewardship to fundamentals of data quality, data governance, and other information management disciplines.
Instructors: Maria C Villar and David Wells
(28)
Data Quality for Data Stewards
The objective of this 5-hour course is to provide an overview of the field of data quality with the goal of building strong fundamental knowledge for Data Stewards. It covers topics ranging from data quality definitions and dimensions to key data quality management practices and methodologies as well as core data quality processes and projects.
Instructors: David Wells, Arkady Maydanchik and Olga Maydanchik
(22)
Data Governance for Data Stewards
The objective of this 4-hour 45-minute course is to provide an overview of the field of data governance with the goal of building strong fundamental knowledge for Data Stewards. It covers the disciplines of governing data, the essential components and a roadmap to execution of a successful data governance program.
Instructors: Maria C Villar, John Ladley & Dave Wells
(22)
