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Description

Effectively Interpret Datasets Using Various Programming Tools with 50+ Hours of Content on Power BI, TensorFlow, R, Python, Keras & PySpark

Sophisticated Data Visualizations and Advanced Data Analysis with Power BI
The Power BI Advanced Course is designed to gain mastery over advanced Power BI features and techniques, including creating sophisticated visualizations such as key influencers, waterfall charts, and decomposition trees. Learn to implement both static and dynamic row-level security to control data access. The course will cover advanced DAX functions for complex calculations, as well as advanced Power Query techniques for data transformation. Additionally, explore the integration of Power BI with other Microsoft services like MS Teams and PowerPoint, and learn to configure subscriptions and paginated reports. A comprehensive end-to-end project will consolidate your learning. This course will equip you with the skills and knowledge to utilize Power BI’s advanced features effectively and integrate machine learning concepts into your data analysis workflows.
 
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What you’ll learn

Access 24 lectures & 7.5 hours of content 24/7
Master advanced Power BI features & visualization techniques
Implement dynamic & static row-level security
Utilize advanced DAX functions for complex calculations
Integrate Power BI with other Microsoft services
Gain hands-on experience with machine learning concepts & their application in Power BI

Who this course is for

Power BI users seeking advanced skills
Anyone interested in data visualization & reporting
SpecsImportant Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: basic to intermediate
Certificate of Completion ONLY
Updates included
Closed captioning NOT available 
NOT downloadable for offline viewing 
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Requirements

Basic to intermediate understanding of Power BI
Essential knowledge of linear algebra, calculus, and probability/statistics
Basic understanding of data structures and control flow

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