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

In this 84-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.

A frequently overlooked aspect of data modeling is quality of existing data models. We often build data models quickly and with the singular goal of database design. This 3-hour course presents Data Model Scorecard®, which provides the tools needed to measure and manage data model quality.

Instructor: Steve Hoberman

Most of the burden for data governance success falls on business users of information. This 3-hour course covers basic data governance concepts that business participants need to understand and describes the steps that they can take to make governance a successful business initiative.

Instructor: John Ladley

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

Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. This 3-hour online course presents a simple yet thorough process that describes the challenges of building an Operational Data Store (ODS) and the solutions to these challenges.

Instructor: Angelo Bobak

This 3-hour online course will give you insight into the data mining process, explain models and algorithms, and give an understanding of how to match the right data mining models to the right problems.

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

This 3 hour online training course provides an overview of Web analytics, as well as analytics techniques and applications that are suitable to the context of Web data.

Instructor: Jake Dolezal

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 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 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 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

This 3.25-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

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

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

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

Bad data harms almost all organizations, adding cost to operations, angering customers, and increasing risk. This 3.5-hour online course offers a comprehensive analysis of benefits of high-quality data and costs of poor data quality, capped with the process for developing and delivering a powerful and effective business case.

Instructor: Tom Redman

This 3.5-hour course provides an introduction to R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics

Instructor: Deanne Larson

This 3.5-hour online course describes how to continue the final stretch of the data analysis journey by visualizing data and using data storytelling to engage, excite, energize, and motivate.

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

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 3-hour 45-minute course provides the insights and methods to develop your approach start or re-energize your data governance program. It covers the needs, interests, and responsibilities of business management challenged by data issues and data leaders who are tasked with managing a data strategy.

Instructor: John Ladley

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 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

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

This 4-hour course teaches which data architecture frameworks are best suited for specific business needs and how to implement them effectively to ensure data integrity, availability, and usability.

Instructor: James Serra