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TDWI Data Modeling: Data Analysis and Design for BI and Analytics Solutions
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.
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TDWI Predictive Analytics Principles and Practices
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.
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AI & Digital Fluency: Preparing Your Data Team for the Future
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.
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Hands-On: Data Analysis with R
This workshop will lay a solid foundation that will enable the attendee to explore more advanced topics in R.
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Modern Data Warehouse Platforms and Architectures for the Cloud
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.
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Hands-On Introduction to Customizing Large Language Models (LLMs)
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.
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Data Science Bootcamp // An Overview of Data Science
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.
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Strategy and Governance for AI: Planning Sustainable and Responsible AI Solutions
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.
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Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
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.
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Data Science Bootcamp // Data Sourcing and Preparation for Data Science
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.
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