Sela

Microsoft Power BI Data Analyst

Description
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI
Intended audience
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises

Topics

Data Analytics and Microsoft
Getting Started with Power BI
Get data from various data sources
Data shaping
Enhance the data structure
Data Profiling
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Introduction to DAX
DAX context
Advanced DAX
Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations
Design a report
Enhance the report
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Paginated report overview
Create Paginated reports
Advanced Analytics
Data Insights through AI visuals
Parameters
Datasets
Security in Power BI
Creating Workspaces
Sharing and Managing Assets

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