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Pluralsight - Analyze Data Using AI Features in Power BI

Pluralsight - Analyze Data Using AI Features in Power BI



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[h1]Free Download Pluralsight - Analyze Data Using AI Features in Power BI[/h1]
Released 12/2024
By Amruta Mahajan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 36m | Size: 82 MB
Power BI offers robust AI capabilities to simplify uncovering insights. This course will teach you how to explore data using Q&A, key influencers, decomposition trees, and smart narratives, while mastering best practices for AI-generated insights.
Data is the fundamental asset in the business world, and without the right tools, unlocking actionable insights can be challenging. Power BI is an intelligent, feature-rich suite for advanced analytics and data visualization, and with its robust AI capabilities, it has become a powerful tool that simplifies uncovering insights from your data like never before. In this course, Analyze Data Using AI Features in Power BI, you'll learn how to harness Power BI's AI capabilities. First, you'll explore data through Q&A natural language queries, key influencers visuals, and decomposition trees. Next, you'll generate and customize smart narrative summaries. Finally, you'll learn best practices for effectively interpreting and utilizing AI-generated insights. When you're finished with this course, you'll have a better understanding of how to effectively leverage AI features in Power BI to uncover insights, interpret data visuals, generate narratives, and apply best practices for data-driven decision-making.
Homepage:
https://app.pluralsight.com/library/courses/power-bi-analyze-data-using-ai-features/table-of-contents

[h2]DOWNLOAD NOW: Pluralsight - Analyze Data Using AI Features in Power BI[/h2]
[h3]Notes:-----> Peeplink is contains links backup file | Please help me share archive to network social . Thanks you so much ! [/h3]

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  • Добавлено: 20/12/2024
  • Автор: OneDDL
  • Просмотрено: 0
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Общий размер публикации: 81,52 МБ
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