Packt Publishing - Microsoft Copilot For Data Analysis And Visualization 2026 BOOKWARE-LERNSTUF

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Packt Publishing
Microsoft Copilot For Data Analysis And Visualization
2026
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.. - - - /- --- _- [ R E L E A S E D E T A i L S ]- . ./\ . - __./---'

Release Date : 2026-04-29

Publisher : Packt Publishing
Title : Microsoft Copilot For Data Analysis And Visualization

Year : 2026
Month : 04

Category : Unknown
Language : English

Section : BOOKWARE
Files : 04 x 250 MB
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https://learning.oreilly.com/videos/-/9781807788599/

In this 2-hour course, you will master the integration of Microsoft Copilot
into data analysis and visualization processes. Learn how to transform, clean,
and visualize data, automate tasks, and leverage AI for better business
insights. What I will be able to do after this course Clean and standardize
data efficiently with AI-driven automation Build advanced visualizations and
dashboards in Power BI Use Microsoft Copilot to detect anomalies and improve
data quality Create dynamic, real-time reports and share them securely
Integrate AI insights into project plans and presentations Course
Instructor(s) Anton Voroniuk is an AI enthusiast, Google Academy Trainer, and
Google Cloud Certified Generative AI Leader. With 17 years of experience, he
has helped over 1,000,000 students worldwide and works as a Premier Partner
Agency with Google and Facebook. Who is it for This course is ideal for data
analysts, business intelligence professionals, and project managers working
with large datasets on Microsoft platforms. Those familiar with Excel and
Power BI will benefit most, though no prior experience with Microsoft Copilot
is needed.
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.. - - _//- ___\____---' [ R E C R U i T i N G ] . - _\_ ___--'-_ -- -_ .

iF YOU HAVE ANYTHiNG TO OFFER
CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW
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.. - - ___- _/ \____--' \ [ G R E E T i N G S ] _-------' \\___-- - // .

GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE
STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE
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lernstuf [at] proton [dot] me
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