Learning Microsoft Power Bi (häftad)
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Häftad (Paperback / softback)
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O'Reilly Media
231 x 175 x 18 mm
522 g
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Learning Microsoft Power Bi

Transforming Data Into Insights

Häftad,  Engelska, 2022-09-30
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Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs
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    Datenanalyse und Visualisierung fur Einsteiger*innen- Die Power BI-Grundlagen einfach und verstndlich erklrt- Mit vielen Beispielen und bungsdateien zum Mitmachen und Ausprobieren- Inkl. den wichtigsten DAX-Ausdrcken und benutzerdefinierten Visual...

Övrig information

Jeremey Arnold is the Senior Analytics Architect at Onebridge, a large Data Analytics consulting firm in Indianapolis, Indiana. Jeremey has worked in data analytics for over a decade and has been a Microsoft Power BI user since its release in 2013. His experience covers multiple industries from healthcare, finance, manufacturing, and the public sector, all with a focus on transforming data into insights and enabling truly data-driven environments.