The Data Literacy Certification Package offers comprehensive education in the basics of 12 topics in data literacy. You will earn the Data Literacy (DLC) certification after successful completion of a challenging exam.

The Data Literacy Certification Mentor Package offers in-depth education in all aspects of the 12 topics in data literacy. You will earn the Data Literacy certification mentor level after successful completion of three challenging exams.

The Data Literacy Certification Expert Package offers basic education in all aspects of the 12 topics in data literacy, and in-depth study of 5 key data literacy topics. You will earn the Data Literacy certification expert level after successful completion of two challenging exams.

DCAM (the Data Management Capability Assessment Model) is the industry-standard, best practice framework designed to assist today's information professional in developing and sustaining a comprehensive data management program.

Data quality is a large and complex field with many dimensions. This 4-hour course provides a comprehensive view of data quality fundamentals. It will help data quality practitioners in every role to understand and apply the concepts, principles, and practices of data quality management.

Instructor: David Wells

This 5-hour course provides a comprehensive overview of the many dimensions of data governance. Built upon a Data Governance Framework, the course describes data value management, leadership and governance, governance organizations, data protection, data quality management, and data governance best practices. The Data Governance Framework provides a big-picture view that is valuable when planning, organizing, organizing, and optimizing data governance programs.

Instructors: Maria Villar, Theresa Kushner, Dave Wells, Jed Summerton, Evan Levy, Tom Redman

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

In this 5.5-hour course you will learn basic terminology, concepts, purpose and capabilities of BI, get introduced to the common challenges and risks encountered in BI implementations, and understand the role of people, information, technology and business objectives in BI success.

Instructor: Mark Peco

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 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: Jed Summerton and Dave Wells

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

This 5.5-hour course focuses on understanding today’s operational data landscape – an essential first step toward modernizing operational data architecture and operational data management.

Instructor: Angelo Bobak

This 4-hour course focuses on understanding today’s operational data landscape – an essential first step toward modernizing operational data architecture and operational data management.

Instructor: Angelo Bobak

This 3-hour course focuses on Excel that become a data analytics hub of its own. It teaches how Excel fits into the essential relationship between business, data, and analysis.

Instructor: Tom Themeles

This 3.5-hour course is focuses on the role of data pipeline engineer – the technical professional who designs, builds, deploys, and support the processes to acquire, ingest, integrate, transform, and prepare data, to load data into databases, and to deliver data to consumers.

Instructor: William McKnight and Jake Dolezal

This 3-hour 20 min course focuses on the role of data product engineer – the technical professional who designs, builds, and deploys data products for data delivery, data sharing, data integration, and data interoperability.

Instructors: William McKnight and Jake Dolezal

Data errors multiply and spread like viruses through data consolidation processes and ongoing data interfaces. This 5-hour course discusses various practices that can be put in place to maintain high data quality through data integration.

Instructor: Arkady Maydanchik

This 5-hour course gives comprehensive treatment to the process and practical challenges of data quality assessment. It starts with systematic treatment of various data quality rules and proceeds to the results analysis and building aggregated data quality scorecard.

Instructor: Arkady Maydanchik

Data profiling is the process of analyzing actual data and understanding its true structure and meaning. It is one of the most common and important activities in information management. This 5-hour course teaches all practical skills necessary to succeed in a data profiling initiative.

Instructor: Arkady Maydanchik

To take advantage of the worldwide marketplace, businesses need to manage data globally. This reality poses very specialized and unique kinds of problems in data management. In this 4.5-hour course you will learn to identify and avoid the pitfalls of global information.

Instructors: Kathy Hunter, William McKnight, Henrik Sørensen

This 4.5-hour course provides a comprehensive view of the critical elements for MDM success including business, architectural, people, process, project, and technology considerations. Learn from the real-world experiences of the instructor what it takes to make MDM work.

Instructor: William McKnight

Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. This 3.5-hour course works through three case studies, while teasing out the principles needed to create successful data quality organizations.

Instructor: Tom Redman

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 4-hour course provides an introduction to the concepts, techniques and applications of SPC within the context of information management. The theory of SPC is introduced and the design of control charts is discussed as a basis for describing how a diverse range of data and process quality management challenges can be addressed.

Instructor: Mark Peco

By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer. This 5-hour online course goes from fundamentals and best practices to hands-on discussion of predictive analytics models and their applications.

Instructor: Eric Siegel

This 4.5-hour online training course gives businesses the perspective they need to migrate from viewing their enterprise information as a collection of data to viewing it as an ongoing graph of meaningful knowledge.

Instructor: Dean Allemang