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

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

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-hour course provides a high-level view across the entire scope of information management.

Instructor: David Wells

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

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

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

This 3-hour online training explores how governance fits within modern data ecosystems, from point of ingestion to reporting and analysis.

Instructor: Dave Wells

This 3-hour course covers the concepts, applications, and business and technical drivers for streaming data adoption, including an in-depth discussion of Apache Kafka.

Instructor: Dave Wells and Kevin Petrie

This 5-hour online course looks at the concepts, principles, and products of data architecture through six different lenses – business alignment, data lifecycle management, data usage, content & structure, processing & storage, and technology.

Instructor: Mark Peco and Dave Wells

This 4.5 hour course explores modern data management challenges, describes modern practices and data architecture design patterns, and describes a step-by-step process to get from business requirements to a modern data management architecture that is sustainable and adaptable to the future changes that are sure to come.

Instructor: Dave Wells and Jed Summerton

This 5-hour online course looks at the core activities needed for data analysis that is purposeful, accurate, meaningful, and valuable: establishing analysis purpose with problem framing, acquiring the right data for analysis, exploring and understanding the data, preparing data for analysis, finding patterns and meaning, data visualization, and communicating findings and conclusions of analysis.

Instructor: Dave Wells and Mark Peco

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

This 5-hour data literacy study material covers the basics of data literacy based on the Data Literacy Body of Knowledge. This material is only available as part of the Data Literacy Certification.

Instructor: Deanne Larson, Mark Peco, Dave Wells

This 4-hour data literacy study material covers topics such as managing data knowledge, data governance, data resource consolidations, managing the data resource, and using the data resources. This material is only available as part of the Data Literacy Certification.

Instructor: Mark Peco, Dave Wells

This 4-hour data literacy study material covers topics such as finding and evaluating data, data preparation, data analysis techniques, data visualization, and taking analysis to action. This material is only available as part of the Data Literacy Certification.

Instructor: Deanne Larson, Mark Peco, Dave Wells

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

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

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

The objective of this 4-hour course is to provide an overview of the fields of data modeling and metadata management with the goal of building strong fundamental knowledge for Data Stewards. It covers the the essential tools to collect, record, and organize metadata.

Instructors: David Wells, Mike Brackett & Arkady Maydanchik

In this 83 minutes introductory course, David Wells covers a broad scope of topics at a high level to familiarize you with the concepts, terminology, and process of working with data.