TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

This data modeling techniques course explores different situations facing data modeling practitioners and provides information and techniques to help them develop the appropriate data models. learn more

This course introduces the building blocks needed to implement predictive capabilities within an organization. It also helps develop the necessary understanding about how models, people, and decision processes must interact to drive actual business impact. Techniques based on statistics, probability, linear regression, logistic regression, and decision trees are described as key enablers for creating predictive models. learn more

Digital transformation is creating a world where businesses must test new, exponential strategies such as generative AI while maintaining incremental business functions to stay current. learn more

This workshop will lay a solid foundation that will enable the attendee to explore more advanced topics in R. learn more

This course will give you the technical reasons why scaling up is sometimes easy and sometimes very hard—at a level that architects, strategists, and decision makers can understand. You need this understanding to choose the best platform for your cloud data warehouse or workload—and to avoid platform mistakes that can be catastrophic. learn more

In this hands-on course, you will be provided with the fundamentals to “talk with your data” by understanding and effectively implementing an LLM in an information-retrieval, question-answering use case. learn more

This course defines data science, describes how it is similar to and different from related analytics disciplines, and covers key concepts every business stakeholder and data scientist needs to know. You will learn how a data science program is organized, the roles of key participants, and the major stages of data science projects. learn more

This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations. learn more

In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics. learn more

This course provides an overview of the data sourcing and preparation activities in data science and predictive analytics projects, highlighting key principles and practices and providing business examples to reinforce each concept. learn more

In this workshop, you will develop the storytelling skills that have become a core competency for anyone who works with data—from data scientists and machine learning engineers to business analysts and rank-and-file managers. learn more

This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations. learn more