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Microsoft SQL Server 2019 – Data Analysis

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Microsoft SQL Server 2019 – Data Analysis

Original price was: ₨9,000.00.Current price is: ₨7,200.00.

This data analysis course, Microsoft SQL Server 2019 – Introduction to Data Analysis will provide a comprehensive overview of the job duties and functions that data analysts need to be familiar with, such as techniques and approaches for creating models, displaying visualizations, and evaluating information through Power BI. Besides that, you’ll also get to learn how to access various types of data sources – both relational and non-relational – in order to process them properly.

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Description

Empower your skills. Elevate your business intelligence. Learn data analytics

This data analysis course will discuss the responsibilities and functions of a data analyst. In this data analysis course, you will learn the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI, Microsoft Analysis Services and other data analysis tools. Our data analysis 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 data analysis 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.

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