Power BI Tutorial From Beginner to Pro ⚡ Desktop to Dashboard in 60 Minutes ⏰

Avi Singh - PowerBIPro・2 minutes read

Avi Singh presents a comprehensive Power BI tutorial guiding users from novice to expert by breaking down the process step-by-step. The tutorial emphasizes mastering Power BI Desktop for creating models and reports, covering topics like data cleaning, relationships, DAX measures, visualizations, and data modeling.

Insights

The tutorial by Avi Singh focuses on guiding users through the Power BI process, emphasizing the importance of mastering Power BI Desktop for creating models, reports, and visualizations, with detailed steps on connecting to data, establishing relationships, and using DAX measures effectively.
The tutorial provides practical instructions on transforming data, establishing relationships, creating visualizations, and utilizing DAX measures in Power BI, highlighting the dynamic nature of measures, the distinction between measures and calculated columns, and the efficiency of hybrid measures in analyzing data across different tables.

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Recent questions

What is the main focus of the Power BI tutorial?
The main focus of the Power BI tutorial is on authoring the model, which is a crucial step in the Power BI process.
What tools are essential in the Power BI tutorial?
The essential tools discussed in the Power BI tutorial are Power BI Desktop and PowerBI.com.
What is DAX and how is it used in Power BI?
DAX (Data Analytics Expressions) is a powerful feature in Power BI used for creating measures.
How can users enhance visualizations in Power BI reports?
Users can enhance visualizations in Power BI reports by utilizing additional filters, options, and conditional formatting based on data values.
How can users publish their Power BI reports?
Users can publish their Power BI reports by clicking the publish button, creating a Power BI account if necessary, and selecting the appropriate workspace.

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Summary

00:00

Master Power BI Desktop for Model Creation

Avi Singh, a Microsoft MVP and Power BI Author, presents a tutorial for beginners and those struggling with Power BI.
The tutorial aims to guide users from novice to expert, breaking down the Power BI process step-by-step.
The focus is on authoring the model, a crucial step in the Power BI process.
Viewers will learn to use the Query Editor to connect to and clean up data, understand Relationships and DAX Measures, and create visualizations.
The tutorial covers various topics with links provided for easy navigation.
It is recommended to watch the entire video first, then follow along using the "Download Files."
Advanced material may be mentioned, with links provided for further learning.
For quality playback, adjust the auto quality setting to one of the HD options.
Power BI Desktop and PowerBI.com are essential tools discussed in the tutorial.
The tutorial emphasizes the importance of mastering Power BI Desktop for creating models and reports.

13:42

Transform data, establish relationships in Power BI.

Input the number 3 and press OK.
Three rows are removed from the data preview.
A step is added to promote the first row as headers.
Remove redundant subtotal rows by filtering out rows not containing the word "total."
The process is case-sensitive, so ensure correct capitalization.
Data is transformed from columns to rows using the "unpivot columns" button.
Columns are renamed to "month" and "budget amount."
Change the data type of the "month" column to date.
Close and apply the changes made in the query editor.
Establish relationships between tables using keys for data modeling in Power BI.

26:56

"Powerful Calendar Table for Data Exploration"

The ultimate calendar table is more powerful, with videos available for further learning.
Relationships are established, leading to data exploration in the reporting panel.
The visualization pane offers basic visualizations and the option to add custom ones.
Starting with the card element, fields can be added to display data.
Formatting the sales amount as currency and switching to a table view is demonstrated.
Filtering by year and month is explained, with sorting by month number for correct order.
Connecting data tables allows for side-by-side analysis of sales and budget amounts.
DAX (Data Analytics Expressions) is introduced as a powerful feature for creating measures.
Explicit measures are recommended over implicit ones for control, reuse, and impact on reports.
Creating a calculated column by adding two quantities is shown, with the importance of row context in measures highlighted.

40:52

Power BI: Efficient Analysis and Dynamic Reports

In measures, lacking row context, direct column references require aggregation functions like sum to specify which value to retrieve.
Measures differ from calculated columns as they don't store values in the table, impacting file size and memory usage.
Calculated columns store every calculated value, increasing file size, while measures only store the measure definition.
Measures are dynamic and calculated on demand, contrasting with calculated columns that store all values.
Defining measures across different data tables allows for hybrid measures operating over both tables.
Hybrid measures offer flexibility in analyzing data across various tables, enhancing efficiency and dynamic analysis.
Power BI's strength lies in the Query Editor and Model, with visualizations being a later step in report creation.
Building reports in Power BI involves a mix of art and science, allowing for customization and personalization.
Visualizations like bar charts and line charts can be enhanced with conditional formatting based on data values.
Utilizing additional filters and options in visuals can refine the presentation of data, enhancing the report's clarity and impact.

55:26

"Maximize Power BI for Interactive Reporting"

To filter the top ten items, use the top function and select the top ten based on a specific measure, such as sales.
Apply the filter to display only the top 10 values, then switch to showcasing top customers instead of products.
The report is interactive, allowing users to click on items for specific details and drag elements for selection.
Drill down into specific categories and subcategories within the report, filtering data accordingly.
Publish the report by clicking the publish button, creating a Power BI account if necessary, and selecting the appropriate workspace.
Utilize Power BI's features to create multiple reports connected to a single data model, set up automated data refreshes, and explore dashboards for high-level data snapshots.

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