Power BI Introduction 2 Hrs
Power BI Introduction
First Power BI Project
Power BI Desktop
Getting Familiar with Power BI DesktoP
Working with Query Editor 12 Hrs
Working with Rows
Working with Columns
Unpivot Columns
Creating Dimension
Creating Fact
Data Modeling
Relationship and Cardinality
DAX Functions
Creating Visuals
Creating First Visual
Tool Tips and Drill Down
Formatting and Filters
Microsoft Power BI Data Analyst Certification Course Ranchi
General Power BI Questions
- What is Power BI?
- Power BI is a data visualization and business analytics tool developed by Microsoft that allows users to connect to various data sources, transform data, create interactive dashboards, and share insights.
- What are the key components of Power BI?
- Power BI Desktop (for creating reports)
- Power BI Service (cloud-based platform for sharing and collaboration)
- Power BI Mobile (for viewing reports on mobile devices)
- Power BI Report Server (for on-premises report sharing)
- How is Power BI different from Excel?
- While both tools can create charts and handle data analysis, Power BI offers enhanced data modeling, real-time dashboards, and a more dynamic way of interacting with data compared to Excel.
Data Import and Connection
- What data sources can Power BI connect to?
- Power BI can connect to a wide range of data sources, including Excel, SQL Server, SharePoint, CSV, web data, Azure, and many third-party services like Google Analytics and Salesforce.
- How do you import data into Power BI?
- You can import data by selecting Home > Get Data in Power BI Desktop, choosing the desired data source, and following the connection prompts.
- What is the difference between DirectQuery and Import mode?
- DirectQuery connects to data sources in real-time and retrieves data upon user interaction.
- Import mode loads the data into Power BI, allowing faster performance but not real-time updates.
Data Transformation and Modeling
- What is Power Query?
- Power Query is a data transformation tool in Power BI that allows users to clean, shape, and transform data before it is imported into the data model.
- What is DAX, and why is it important?
- DAX (Data Analysis Expressions) is a formula language used in Power BI for creating custom calculations, measures, and columns. It enhances data modeling capabilities.
- What are some common DAX functions used in Power BI?
- Some commonly used DAX functions include:
SUM()AVERAGE()CALCULATE()RELATED()IF()
- Some commonly used DAX functions include:
Visualization and Reports
- What types of visualizations can you create in Power BI?
- Power BI supports a variety of visualizations, such as bar charts, line charts, scatter plots, pie charts, tables, matrices, maps, and custom visuals from the marketplace.
- How do you create a report in Power BI Desktop?
- To create a report, you:
- Import your data into Power BI.
- Use the Fields pane to drag data fields onto the Canvas.
- Customize the visualization type and format it using the Visualizations pane.
- To create a report, you:
- Can you create interactive filters in Power BI reports?
- Yes, Power BI allows the creation of interactive filters like slicers, drill-throughs, and report-level filters to help users interact with the data.
Sharing and Collaboration
- How do you share Power BI reports with others?
- Reports can be shared through the Power BI Service by publishing them to an app workspace and sharing the report link with others who have access.
- What are Power BI dashboards, and how do they differ from reports?
- A dashboard is a single-page, real-time view of your data with pinned visuals from one or multiple reports. Reports are more detailed and can contain multiple pages.
- What is Power BI Pro, and do I need it?
- Power BI Pro is a paid subscription that allows for sharing, collaboration, and publishing of reports beyond personal use. For group projects or collaborative work, Power BI Pro might be necessary.
Troubleshooting and Best Practices
- What are some best practices for creating Power BI reports?
- Use consistent formatting and color schemes.
- Ensure that your data model is optimized for performance.
- Provide clear labels and legends for visuals.
- Keep visualizations simple and easy to interpret.
- What can you do if a Power BI report is running slowly?
- Optimize the data model by reducing columns and rows.
- Use DirectQuery for large datasets if appropriate.
- Limit the number of visuals on a page.
- Aggregate data at the source before importing.
- How can you troubleshoot common data connection errors in Power BI?
- Check if the data source is accessible and online.
- Ensure the correct credentials are being used.
- Confirm that the data source has the necessary permissions for access.