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Microsoft SQL Server 2019 - Introduction to Data Analysis
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[Bild: pntjc1ykomfw5m4xooxxcw1k1x.jpg]

Microsoft SQL Server 2019 - Introduction to Data Analysis
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.1 GB | Duration: 14h 7m



What you'll learn
Learn the responsibilities and functions of a data analyst.
Learn the technical requirements for modeling, visualizing, and analyzing data with Power BI.
Learn how to access and process data from a range of data sources including both relational and non-relational data.
Explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups.
Requirements
None.

Description
This course will discuss the responsibilities and functions of a data analyst. Which includes 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.
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. Power BI is a member of the Power Platform. Power Apps is another component that enables everyone to build and use apps that connect to business data. This course will show you how to use the Power Apps visual to pass context-aware data to a canvas app, which updates in real-time as you make changes to your report. This will allow your app users to derive business insights and take actions from right within their Power BI reports and dashboards.
This course will also include information on basic T-SQL query development.
Ingest, clean, and transform data
Model data for performance and scalability
Design and create reports for data analysis
Apply and perform advanced report analytics
Manage and share report assets
Create paginated reports in Power BI
Embed Power Apps into Power BI
Understand the similarities and differences between Transact-SQL and other computer languages.
Write SELECT queries
Query multiple tables
Sort and filter data
Who this course is for
Beginner professionals.


[Bild: microsoftsqlserver20127jfa.jpg]

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