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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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Data Science and Generative AI: Leveraging Best Practices and Avoiding Pitfalls
Data science is the key to business success in the information economy. This course will teach you about best practices in deploying a data science capability for your organization.
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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: Data Analysis with Tableau
By the end of this hands-on workshop, you'll be equipped with the knowledge and practical experience needed to transform raw data into meaningful insights, create interactive and visually appealing dashboards, and communicate your findings effectively to peers and decision-makers.
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Hands-On: Dashboards and Visualization with Power BI
This hands-on course will take you from a beginner to an intermediate Power BI user. You will learn how to acquire data efficiently using Power Query, build compelling dashboards in Power BI, integrate Power BI with Microsoft Excel, and use other tools.
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Visualizations that Make a Difference: Communicating Insights with Clarity and Impact
You will learn to apply the foundations of data literacy (the structure of visual language) to provide what people want from their data and to unleash your creativity. When you use words, you know how to communicate the same ideas in a variety of ways. In the visual world, knowing how to do the same by applying core traits (e.g., size, color, gradient) lets you express a message with clarity to hold the reader's attention.
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Hands-On: Building a Data Warehouse and Analyzing Data the Google Cloud Way
Through a series of demonstrations and exercises, students will gain hands-on experience in the steps needed to build and use a data warehouse on Google Cloud.
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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 // 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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Data and Analytics Maturity and Organizational Benchmarking
In this course, participants will learn how to understand and apply the key dimensions of data and analytics maturity in your organization.
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