Microsoft power bi - a complete introduction [2022 edition] videos

Whether you want to analyze data from single or multiple sources or create impressive visualizations from datasets and share your results with colleagues, Power BI is the tool that will help you achieve your business intelligence goals. With this video course, you will learn how to use Power BI’s set of business intelligence tools effectively.

The course starts by taking you through the course objectives and introducing you to Power BI Desktop. Next, you will connect Power BI to various source types using the Query Editor, understand the data model, and add relationships between different tables. Moving ahead, you will create visuals in the report view and share your work with colleagues and others using Power BI Pro.

As you advance, you will get prepared to import data from sources such as JSON, REST APIs, and MySQL Server. Later, you will explore tips to stay ahead in the Power BI world and create custom visuals using TypeScript and Power BI Developer tools. Toward the end, you will test your skills by working through interesting projects and reinforcing your knowledge by revising old topics in Power BI.

By the end of this course, you will be able to analyze data from different data sources and create their own datasets, be able to comfortably work with the different tools of the Power BI universe, and know how the different tools work together.

All the resources are available at: //github.com/PacktPublishing/Microsoft-Power-BI---A-Complete-Introduction-2022-EDITION

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Microsoft Power BI - A Complete Introduction [Video]

This is the code repository for Microsoft Power BI - A Complete Introduction [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

This course will take you on a journey where you'll you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools in the required way. Quickly structure your data, easily add calculations to it, and create and publish nice-looking charts in just a few minutes. You will learn about different tools in the Power BI universe, understand Power BI Desktop and its components, and lot more.

What You Will Learn

  • Essential DevOps concepts and how tool-chains fit together
  • Collaborate, feel confident about experimenting with your code, and isolate changes with Git source control
  • Create unit tests and use test-driven development, so that your code will never make the same mistake twice
  • Deploy an automated build process to get your application changes into production faster
  • Drastically improve the quality of your software by understanding the value of bringing development and operations together
  • Build a highly available and fully scalable application environment in code

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
This course is designed for people who have never worked with Power BI and who want to understand how to use these tools, those interested in learning how to connect the different Power BI tools with each other, and those who want to understand how to create customized visuals with the Power BI Developer tools.

Technical Requirements

This course has the following software requirements:
NA

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Whether you want to analyze data from single or multiple sources or create impressive visualizations from datasets and share your results with colleagues, Power BI is the tool that will help you achieve your business intelligence goals. With this video course, you will learn how to use Power BI’s set of business intelligence tools effectively.

The course starts by taking you through the course objectives and introducing you to Power BI Desktop. Next, you will connect Power BI to various source types using the Query Editor, understand the data model, and add relationships between different tables. Moving ahead, you will create visuals in the report view and share your work with colleagues and others using Power BI Pro.

As you advance, you will get prepared to import data from sources such as JSON, REST APIs, and MySQL Server. Later, you will explore tips to stay ahead in the Power BI world and create custom visuals using TypeScript and Power BI Developer tools. Toward the end, you will test your skills by working through interesting projects and reinforcing your knowledge by revising old topics in Power BI.

By the end of this course, you will be able to analyze data from different data sources and create their own datasets, be able to comfortably work with the different tools of the Power BI universe, and know how the different tools work together.

All the resources are available at: //github.com/PacktPublishing/Microsoft-Power-BI---A-Complete-Introduction-2022-EDITION

Is Microsoft Power BI difficult to learn?

Although Power BI is considered relatively easy to learn, there are still challenges involved with mastering this tool. One of the most difficult aspects of Power BI to learn is DAX, which is short for Data Analysis Expressions. Initially released in 2009 by Microsoft, DAX evolved from the MDX language for data cubes.

Can a beginner learn Power BI?

Through this course, beginners can get an introduction to Power BI basics first. Once you have mastered the fundamentals you can move on to the advanced topics in Power BI.

What are the 3 important Power BI tools?

Included within Power BI are several components that help users create and share data reports..
Power Query: a data mashup and transformation tool..
Power Pivot: a memory tabular data modeling tool..
Power View: a data visualization tool..
Power Map: a 3D geospatial data visualization tool..

How do you start Power BI for beginners?

Browse to the file on your computer, and choose Open. For this tutorial, we select Import to add the Excel file as a dataset, which we can then use to create reports and dashboards. If you select Upload, the entire Excel workbook is uploaded to Power BI, where you can open and edit it in Excel Online.

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