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

In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology. learn more

In this course, Rich Fox will provide a framework for becoming a data-driven organization. Students will learn best practices for connecting business strategy and analytics to deliver results, driving faster and more effective decisions. learn more

This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future. learn more

In this class, Julia Bardmesser will show you how to join the dots between data capabilities and business outcomes, using real-world case studies. You will also learn techniques for non-technical storytelling, so you can convert deeply technical subjects like master data management into concepts that business stakeholders can easily grasp. learn more

This masterclass will teach you about best practices in deploying a data science capability for your organization. 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

In this hands-on course, you will be provided with all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm. Focusing on core concepts and intuitions means that no complicated math is required. learn more

This course will take graph concepts out of the realm of academic theory and show you what they mean in practice. The hands-on exercises won’t require a laptop, just pen and paper and a desire to not just push your thinking, but the very way you think. learn more

This course empowers data and analytics professionals to revolutionize their approach to data. Students will master the concept of data as a product, a paradigm shift from traditional project-based data handling to a sustainable, value-driven product model. learn more

In this course, Evan Levy will cover the fundamentals of AI governance including AI risk levels, the core components, real-world use cases, and how organizations have addressed and reduced their risks associated with artificial intelligence. learn more

In this masterclass, Norbert Kremer will examine how data is used across a variety of AI use cases. He will show how AI models with different modalities and scales use training data in very different ways and explain why the large scale of some current models demands new methods of generating training data. learn more