Go beyond basic data modeling concepts to explore the more complex situations faced with data modelers today.

A full course overview of analytics, from foundational principles to how and why to implement.

An introductory overview of analytics, from foundational principles to how and why to implement. Try it, Risk Free!

Learn the basics of business intelligence from end to end with industry expert Jonathan Geiger.

This course is designed for those who already have knowledge of the theory and practice of business and technology management but would benefit from an interactive and informative review prior to taking the Business Core exam.

This course is designed for those who already have data warehousing knowledge and experience but would benefit from an interactive and informative review prior to taking the Data Foundations exam.

This course is designed for those who already have knowledge and experience in the field of information systems but would benefit from an interactive and informative review prior to taking the Information Systems Core exam.

The data catalog is a key component of modern data management programs, connecting the business to needed information to power modern analytics and self-service, support analysis of data lineage and usage, and drive data governance.

This one hour self-paced online course explains key concepts, roles, and benefits of a data governance program.

Provides the necessary knowledge to help you scope, design and implement an effective program in your organization.

Designed to take on the important topic of governing data within the fast-moving environment we live in today with the considerable changes in the environment that are forcing us to change our thinking about Data Governance and adapt.

Get excited as this course provides data modelers with techniques for developing sustainable normalized and dimensional data warehouse and data mart models on relational DBMS platforms to help satisfy your business needs.

Gain a solid foundation of key concepts, principles, and terminology related to data quality with this great introduction to data quality skills.

This course is designed to help your organization better understand and successfully tackle your data quality challenges.

TDWI’s Data Science Bootcamp will lay the groundwork for your journey to becoming data scientist; from sourcing and preparing data, to analytic modeling with data, interpreting results, and delivering insights to the business.

Learn how to develop a data strategy that supports your business goals to ensure adoption and drive success. In Part 1 of this two-course series, expert practitioner Evan Levy defines the framework for a successful data strategy.

Learn how to develop a data strategy that supports your business goals to ensure adoption and drive success. In Part 2 of this two-course series, expert practitioner Evan Levy describes the process of building the data strategy and the roadmap document.

Get ready to expand your data integration capabilities, deliver business-speed information, and make the most of recent advances in data virtualization technology. Through a combination of lecture and case study review, you will learn how data virtualization works and how to position it in your data integration architecture and processes.

Get the foundational skills you need to better communicate with data, select the right charts that tell the right story, and bring value to your team with this online course. Log in any time, from anywhere and start earning a certificate with TDWI.

Get started with the latest approach to producing and managing data and analytics solutions: DataOps. Ready to meet the unique challenge of modern programs, DataOps applies agile principles to the development, delivery, and management of analytics solutions while ensuring data quality and data governance, reducing time frames, and maximizing business value.

Innovations in data integration technology are unlocking new business capabilities, reshaping data architecture, and shifting development workflows to new participants. Join Mark Madsen for an in-depth review of modern data integration techniques and to learn what solutions are the best match for your business.

Delve into metrics to understand the factors that contribute to reported results.

Delve into metrics to understand the factors that contribute to reported results.

Develop the data literacy skills you need to be a trusted business analyst. Caitlin Johnson will teach you to analyze business challenges, extract key business insights from data, and communicate your findings with focused clarity. No programming or difficult mathematics required!

This course is designed to teach you the most practical data science techniques in R to find valuable data insights.

Hands-on: Intro to Python for Data Analysis is a workshop aimed at individuals who are new to programming and would like to learn Python.

Learn the fundamentals of predictive analytics—without having to write code! Using Excel, David Langer will teach you how to frame a business challenge, train a predictive model using linear regression, and evaluate your results.

Information dashboards are an essential modern method for delivering information and intelligence. Learn the principles and practices of dashboard design from expert practitioner Richard Hines, including measurement concepts, data visualization principles, user interface design, and much more.

Learn about the major cloud data platforms, their abilities to support the modern data warehouse, key architectural features, and how to choose the platform that is right for your business. Richard Winter and Norbert Kremer, experts in data management at scale, walk you through everything you need to know about cloud data platforms and architecture.

Enroll in this new 7-week intensive program that combines weekly lectures and walkthroughs with instructor-graded hands-on activities to help you understand the fundamentals of NoSQL platforms.

Understand the latest architectural developments to support PA/ML in the cloud, including Borg, Mesos, Kubernetes, KubeEdge, and KubeFlow.

Extend your analytics program from gaining insight to providing foresight with this great introduction to predictive analytics skills.

This course recognizes that understanding needs for data driven initiatives differs from the process for traditional efforts. The contrasts are emphasized throughout the course and are addressed through discussions about the challenges, requirements classifications, requirement discovery techniques, requirements elicitation and products, and requirements analysis and management.

Enroll in this 7-week course to learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive analytics.