Скачать или смотреть Power BI Training Day 4-1: Visualization, AI, Waterfall, Key Influencers, Decomposition, PowerQuery

Welcome to this comprehensive training on Power BI, where you will learn how to create visually stunning and insightful reports and dashboards with Power BI. In this course, we will cover various aspects of Power BI, including visualization, Q&A, Waterfall Charts, Key Influencers, Decomposition Trees, Power Query, Unpivot, and M Language.

The Power BI tool is a powerful business intelligence and data analytics platform that allows you to connect, visualize, and share data with stakeholders in a meaningful and interactive way. By the end of this course, you will be able to create rich and engaging data visualizations that enable you to discover insights and drive better business decisions.

In this course, we will start with an introduction to Power BI, its architecture, and its features. We will then move on to cover the following topics:

Visualization: In this section, we will cover how to create various types of visualizations in Power BI, including charts, tables, matrices, and gauges. We will also explore how to customize the appearance of visualizations to make them more appealing and informative.

Q&A: Q&A is a powerful feature of Power BI that allows users to ask natural language questions about their data and get instant answers in the form of visualizations. In this section, we will cover how to set up and use Q&A in Power BI.

Waterfall Chart: The waterfall chart is a great way to visualize changes in a value over time or across different categories. In this section, we will cover how to create a waterfall chart in Power BI and use it to analyze data.

Key Influencers: Key influencers are the factors that have the most significant impact on a particular metric or value. In this section, we will cover how to use the key influencers feature in Power BI to identify the factors that drive a particular metric.

Decomposition Tree: The decomposition tree is a powerful visualization that allows you to break down a metric into its component parts and analyze it in more detail. In this section, we will cover how to create a decomposition tree in Power BI and use it to analyze data.

Power Query: Power Query is a data transformation and cleansing tool that allows you to clean, transform, and merge data from multiple sources. In this section, we will cover how to use Power Query to clean and transform data before loading it into Power BI.

Unpivot: Unpivot is a Power Query feature that allows you to convert columns of data into rows. In this section, we will cover how to use unpivot to reshape data in Power BI.

M Language: M Language is the formula language used in Power Query to manipulate data. In this section, we will cover the basics of M Language and how to use it to create advanced data transformations.

By the end of this course, you will have a deep understanding of Power BI and its various features, including visualization, Q&A, Waterfall Charts, Key Influencers, Decomposition Trees, Power Query, Unpivot, and M Language. You will be able to use these features to create powerful and insightful reports and dashboards that enable you to make better business decisions.

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