Data Visualization with : BI ,SQL Server PostgreSQL, Excel

Data Visualization with : BI ,SQL Server PostgreSQL, Excel. There are many different ways to visualize data. One of the most popular methods is data visualization with B?I, SQL Server PostgreSQL, and Excel. This method allows users to see the data in a way that is easy to understand and can be used to make decisions. By using these tools, users can create charts and graphs that can help them see patterns in the data.

One popular option is to use a tool like Excel. This software can be used to create charts and graphs that can help you understand your data. Additionally, it can also be helpful if you need to work with large amounts of data.

Another option is to use a tool like Sql Server. This software can be used to manage and store your data in a way that makes it easier to access and analyze. Additionally, Sql Server can also be used to create reports that show how your data is changing over time.

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Both of these options have their own advantages and disadvantages. Ultimately, it is important to decide which tool is best for your needs.

  • Visualize data from an excel file with Power BI
  • Visualize data from an SQL Server Database with Power BI
  • Visualize data from a PostgreSQL Database with Power BI
  • Publish Report of visualized data to Power BI Service
  • Connect Power BI to database data sources
  • Create Visuals and charts from database data sources

Data Visualization with : BI ,SQL Server PostgreSQL, Excel Course Requirements

  • Power BI required. The setup is covered in the course
  • SQL Server is required. The setup is covered in the course
  • PostgreSQL is required. The setup is covered in the course
  • Office 365 is required: The setup is covered in the course

Data Visualization with : BI ,SQL Server PostgreSQL, Excel Course Description

Data visualisation is the graphical representation of information and data.

By using visual elements like charts, graphs and maps, data visualisation tools provide an accessible way to see and understand trends, outliers and patterns in data.

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Every day  businesses generates more data on sales revenue, marketing performance, customer interactions, inventory levels, production metrics, staffing levels, costs, and other KPIs. But with so much data to sift through, it can be difficult for people to see the story it tells.

Data visualization helps you turn all that granular data into easily understood, visually compelling—and useful—business information.

The benefits of data visualization

Hidden within your data lie important insights that can help drive business forward. But the challenge is that you can’t always connect the dots by looking at raw numbers alone. When you look at your data presented in a visual format, patterns, connections, insights emerge that would otherwise remain out of sight.

Data visualization brings data to life, making you the master storyteller of the insights hidden within your numbers. Through live dashboards, interactive reports, charts, graphs, and other visual representations, data visualization helps users develop powerful business insight quickly and effectively.

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How to make the most of data visualization

Being able to see the story within the numbers makes data visualization a powerful tool for sharing and communicating information.

Data visualization can be used for demonstrating performance, communicating trends, understanding the impact of new strategies, showing relationships, and beyond. These representations can be powerful tools for communication and collaboration, bringing greater value to reports, journalism, apps, or any context where sharing information is required.

While stunning, rich visuals can be great tools for communicating ideas, the end benefit of data visualization is its ability to drive better decision-making.

Who this course is for:

  • Beginners to Data Visualization

Source: https://www.udemy.com/course/data-visualization-with-bi-sql-server-postgresql-excel/

Data Visualization with : BI ,SQL Server PostgreSQL, Excel Course Buy wit Above Link In Udemy

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