Power Bi Tutorial

Power BI Tutorial for Beginners

This Power BI beginners tutorial covers the basic learning techniques of data visualization. Considering the audience as beginners, this tutorial starts from scratch, thus eliminating confusion related to the topic.

In addition, this tutorial assumes that the user is proficient with the advanced formulas and concepts of MS Excel.

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What is Power BI?

Power BI is a business intelligence tool that helps convert raw data into meaningful insights through dashboards, reports, and applications (apps). It helps visualize data from a variety of visual elements available.

For example, an organization may want to create a finance dashboard that displays profits, inventories, cash-in-hand, operating expenses, and so on. Alternatively, a sales dashboard shows the number of units sold in a particular region, earnings of a location, discounts and schemes offered to the general public, and so on.

The datasets are uploaded in the Power BI followed by visualizing and selecting the most appropriate representation. A user-friendly visualization helps ease the analysis of data.

The desktop version of Power BI is free of cost. Besides, one can also try the SaaS (software as a service) and the mobile supporting app.

The Availability of Power BI

The Power BI desktop is available on the Microsoft website. Alternatively, it can be downloaded from the following link.

https://powerbi.microsoft.com/en-us/desktop/

Note: Prior to downloading, verify whether your Excel is 32-bit or 64-bit. Thereafter, the corresponding version must be installed.

Getting Started with Power BI Desktop

Power BI Desktop User Interface

Let us understand the Power BI user interface. The elements of the user interface are listed as follows:

• There are four tabs on the ribbon–Home, View, Modeling, and Help. These are similar to the menu options of MS Excel.

• In the working area of the Power Bi desktop view, there are three icons on the left side of the screen. These are–“report,” “data,” and “model.”

In the following pointers (a to c), the “report,” “data,” and “model” tabs are discussed.

a. By default, the “report” workspace is visible, as shown in the following image. In this workspace, all the visualizations of data are created.

b. In the “data” tab, the uploaded data table information is visible.

c. In the “model” tab, the relationship between two or more data tables can be seen. This is the case when more than one data table is uploaded.

• On the right-hand side of the page are two tabs, “visualizations” and “fields.” By using these “visualizations,” we can create reports and dashboards from the “fields.” “Fields” are the column headings of the uploaded data table.

The Procedure of Uploading Data

Let us learn how to upload the data to the Power BI desktop. The succeeding image shows a sample dataset prepared in Excel. The steps to upload the given dataset are listed as follows:

Step 1: Keep the data ready in any of the mentioned file extensions–Excel, text/csv, xml, json, pdf, etc. The current dataset is in Excel format.

Step 2: In the Home tab, click on the “get data” drop-down list. Select the appropriate option depending on the type of data source. Since our data is in Excel format, we choose the same.

Step 3: Choose the desired file from a location on the computer. Go to the saved folder and select the file. Click “open” to upload the data.

Step 4: The “navigator” window opens, as shown in the succeeding image. In this, we can edit the data using Power QueryPower QueryPower Query in Excel is a case-sensitive tool that helps the users search data sources, associate with data sources, and then shape the database according to their requirement. The users can even share their findings and create multiple reports using more query tools.read more. Alternatively, we can upload the data as it is.

Step 5: Select the worksheet name (sales data) where the data resides. At the bottom, there are two options–the “load” and “transform data.” For editing the dataset, choose “transform data,” else click the “load” option.

Step 6: In the “Data” option, the entire data table can be seen, as shown in the following image.

An Example of Creating Visualizations

Once the data is uploaded, we can create visualizations. The following steps serve as an example for such visualizations:

Step 1: In “fields,” all the data headings can be viewed.

Step 2: To create overall sales numbers, choose the “card” visualization.

Step 3: Under “fields,” select “sales” to see the total sales numbers in the card, as shown in the following image.

Step 4: To create a city-wise representation, choose the clustered column chart visualization icon. In “axis,” select “city,” and in the “value” field, select “sales.”

Likewise, you can use the different visual elements to create the desired dashboard.

The Reasons for Using Power BI

The Power BI has a number of features which are of interest to a data professional. The reasons to learn Power BI are listed as follows:

• Power BI is one of the best visualization tools consisting of in-built dashboards and reports.
• The combination of Excel and Power BI is a powerful mix.
• A quick analysis is possible as the data refreshes automatically when the source is online.
• Power BI desktop is a major development of the power viewPower ViewExcel Power View is a data visualization technology that helps you create interactive visuals like graphs, charts. It allows you to analyze data by looking at the visuals you created. As a result, it makes your excel data more meaningful and insightful for better decision making.read more of Excel.

Note: The refreshing time can be scheduled if the data uploaded to the Power BI is offline.

Frequently Asked Questions

Recommended Articles

This has been a guide to Power Bi Tutorial for Beginners. Here we discuss what is Power BI excel and how to use it along with step by step examples You can learn more about data visualization from the following articles –

• Power BI RANKX Function
• Conditional Formatting in Power BI
• Excel Dashboard Training
• Power Query in Excel