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.

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

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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)

This online course will cover the key concepts and practices needed for a successful data science program.

Instructors: Mark Peco and Natasha Balac

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

(93)

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)

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

(18)

This 3.5-hour online course addresses the technical community as well as the user community, providing guidance on how to penetrate and benefit the enterprise. This practical session will help you make the most of big data and make the best choices to ensure information remains an unparalleled corporate asset.

Instructors: William McKnight and Jake Dolezal

(4)

This 4.5-hour This course re-defines the scope of the “modern” data warehouse. The need for planning and the role of architecture are described and clarified, followed by a discussion about the challenges related to gathering useful information requirements. This is followed by a discussion of design approaches, development, testing and quality management techniques.

Instructor: Mark Peco

This 3.5-hour online course addresses the emerging class of NoSQL technologies for managing operational big data. This includes key-value, column stores, document stores and graph databases. Learn about the ideal workloads for NoSQL in enterprises and where NoSQL adds value to an enterprise information strategy. Learn how to get the projects started or dropping the “not in production” label.

Instructors: William McKnight

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)

This 3-hour online course addresses how to scope, plan, and choose a project approach for analytics project success and clearly identify the problem and opportunities to be analyzed.

Instructor: Deanne Larson

This 5-hour online course provides an introduction to Hadoop and its inner workings and how the ecosystem was created to answer several questions for a world driven by data and e-commerce.

Instructor: Krish Krishnan

This 3-hour online course provides an overview of the scientific method within the context of solving business problems with the goal of introducing the key concepts, tools, and skills for practice.

Instructor: Jennifer Leo

This 3-hour online course addresses how to translate the problem statement into data sources, explore the data for relationships and recognize patterns, identify the starting inputs for the model, preparing data, and validating it for the model fitting process.

Instructor: Deanne Larson

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)

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 course presents the basics of AI from history to modern AI with the illustrative applications of endless possibilities.

Instructor: Natasha Balac

This 3-hour course covers the core principles of building a big data strategy to generate the business value and deep insights that an organization needs to thrive in a competitive business environment.

Instructor: Asha Saxena

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 3-hour course focuses on how to match the business problem to candidate algorithms, produce comparable models, choose the best performing model, and once in production, what to do to address ongoing value.

Instructor: Deanne Larson

In this 3-hour course, students learn about machine learning and the data preparation workflow. The course begins with a portfolio of case studies to provide an overview, then covers the fundamental machine learning tasks and algorithms.

Instructor: Asha Saxena

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

(43)

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

(81)

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

(84)

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

(20)

In this 3.5-hour course you will learn the secrets of successful conceptual data modeling through an effective mix of presentation and exercises. You will gain valuable insights into the job and responsibilities of the data modeler as well as the responsibilities of other data modeling contributors.

Instructor: David Haertzen

(3)

This 4-hour course includes a mix of data modeling concepts, best practices, applications and practical examples that will help you build effective data warehouse and business intelligence applications.

Instructor: Rick Sherman

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