Tableau Prep Masterclass - Build and Automate Data Flows

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Tableau Prep Masterclass - Build and Automate Data Flows

Coursera · Beginner ·📰 AI News & Updates ·1mo ago
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the full potential of Tableau Prep and become an expert in automating and optimizing your data flows. This course will guide you through the essential components of Tableau Prep, from the Input Step to the Output Step, covering how to streamline and automate data preparation for powerful analysis and insights. You will learn how to transform, clean, and combine datasets with ease, mastering each step of the data flow process to enhance your Tableau experience. Throughout the course, you will begin by understanding the basics, including installation and what Tableau Prep is. You will then dive into the key steps of creating a Tableau Prep flow, such as joining, pivoting, and aggregating data, before learning how to refine your data for sharing and publishing. The course includes a hands-on industry project, where you will work with real-world data to prepare and publish insights directly to Tableau Cloud, automating updates along the way. This course is ideal for anyone looking to refine their data preparation skills and automate data pipelines for more efficient Tableau work. Whether you're a beginner or have experience with data tools, you'll build the skills needed to master Tableau Prep for any project. The course provides step-by-step guidance, ensuring that you can learn at your own pace while tackling industry-relevant challenges. By the end of the course, you will be able to prepare and clean multiple data sources, automate data flows, create reusable pipelines, and publish and schedule data updates seamlessly. You will also be equipped to collaborate efficiently by saving and sharing your results in Tableau Cloud.
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