Microsoft Power BI 教程

1. Installation Process

Learn how to download and install Power BI Desktop on your computer.

2. Getting Started with Power BI

Introduction to Power BI interface and basic navigation.

3. Connecting to Data Sources

Steps to connect Power BI to various data sources such as Excel, SQL Server, etc.

4. Data Transformation and Cleaning

Learn how to transform and clean your data using Power Query Editor.

// Example Power BI M code for data transformation
let
    Source = Excel.Workbook(File.Contents("C:\data.xlsx"), null, true),
    Sheet1_Sheet = Source{[Item="Sheet1",Kind="Sheet"]}[Data],
    #"Promoted Headers" = Table.PromoteHeaders(Sheet1_Sheet, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}})
in
    #"Changed Type"
      

1. Performance Optimization

Tips and techniques for optimizing the performance of Power BI reports and dashboards.

2. Design Best Practices

Best practices for designing effective and visually appealing reports and dashboards.

3. Maintenance and Troubleshooting

Guidelines for maintaining Power BI solutions and troubleshooting common issues.

4. Advanced Data Modeling

Advanced techniques for data modeling using DAX and implementing complex calculations.

  // Example DAX measure for year-over-year growth
  YoYGrowth = 
      VAR CurrentYearSales = SUM(Sales[SalesAmount])
      VAR PreviousYearSales = CALCULATE(
                                  SUM(Sales[SalesAmount]),
                                  SAMEPERIODLASTYEAR(Calendar[Date])
                              )
      RETURN
          DIVIDE(CurrentYearSales - PreviousYearSales, PreviousYearSales, 0)
      

1. Overview of Power BI

An introduction to Microsoft Power BI, its features, and capabilities.

2. Benefits of Using Power BI

Exploring the advantages of using Power BI for data analysis and visualization.

3. Components of Power BI

Understanding the different components of Power BI, including Power BI Desktop, Service, and Mobile.

1. Downloading and Installing Power BI Desktop

Step-by-step instructions on downloading and installing Power BI Desktop on your computer.

2. Signing Up for Power BI Service

Guidance on signing up for Power BI Service to access additional features and collaborate with others.

3. Navigating Power BI Interface

An overview of the Power BI interface and basic navigation to get you started.

1. Connecting to Various Data Sources

Learn how to connect Power BI to different data sources such as Excel, SQL Server, CSV files, and web sources.

2. Importing Data into Power BI

Step-by-step instructions on importing data from connected sources into Power BI for analysis and visualization.

3. Data Modeling and Relationships

Understanding data modeling concepts and establishing relationships between different data tables within Power BI.

1. Data Loading Options

Explore different data loading options available in Power BI, including direct query, import, and live connections.

2. Data Transformation using Power Query Editor

Learn how to use Power Query Editor to transform and clean your data, including filtering, splitting, and merging operations.

3. Cleaning and Shaping Data

Best practices for cleaning and shaping your data to ensure accuracy and consistency for analysis and visualization.

1. Basics of Data Visualization

An introduction to the fundamentals of data visualization and its importance in Power BI.

2. Creating Charts

Step-by-step guidance on creating different types of charts in Power BI, such as bar charts, line charts, pie charts, etc.

3. Formatting Visualizations

Learn how to format and customize your visualizations to improve readability and aesthetics.

1. Building Reports with Visualizations

Step-by-step instructions on building reports in Power BI by adding and customizing visualizations.

2. Designing Interactive Dashboards

Guidance on designing interactive dashboards by combining multiple reports and visualizations.

3. Using Filters and Slicers

Learn how to use filters and slicers to interactively explore your data within reports and dashboards.

1. Understanding DAX

An overview of Data Analysis Expressions (DAX) and its role in advanced data modeling within Power BI.

2. Calculated Columns and Measures

Learn how to create calculated columns and measures using DAX to derive new insights from your data.

3. Time Intelligence Functions

Exploring time intelligence functions in DAX for analyzing trends and patterns over time.

1. Publishing Reports to Power BI Service

Steps to publish reports created in Power BI Desktop to Power BI Service for sharing and collaboration.

2. Sharing Reports and Dashboards with Others

Guidance on sharing reports and dashboards with colleagues and stakeholders using Power BI Service.

3. Collaboration Features

Explore collaboration features in Power BI, such as comments, sharing permissions, and version history.

1. Managing Access and Permissions

Learn how to manage access and permissions to Power BI content to control who can view and edit reports and dashboards.

2. Implementing Row-Level Security

Guidance on implementing row-level security to restrict data access based on user roles or criteria.

3. Data Encryption and Compliance Features

Explore data encryption and compliance features in Power BI to ensure data security and regulatory compliance.

1. Overview of Power BI Mobile

An introduction to Power BI Mobile app and its features for accessing and interacting with reports on mobile devices.

2. Accessing and Interacting with Reports

Step-by-step instructions on accessing and interacting with reports and dashboards using Power BI Mobile app.

3. Mobile-Specific Features and Considerations

Exploring mobile-specific features and considerations for designing reports and dashboards in Power BI.

1. Integrating Power BI with Excel

Learn how to integrate Power BI with Excel for enhanced data analysis and reporting capabilities.

2. Using Power BI with SharePoint, Teams, etc.

Guidance on integrating Power BI with other Microsoft tools and platforms such as SharePoint and Teams for collaboration and data sharing.

3. Embedding Power BI Reports into Other Applications

Explore methods for embedding Power BI reports and dashboards into custom applications and websites for broader accessibility.

1. Performance Optimization

Tips and techniques for optimizing the performance of Power BI reports and dashboards to ensure smooth and efficient operation.

2. Design Best Practices

Best practices for designing visually appealing and effective reports and dashboards in Power BI, including layout, color usage, and interactivity.

3. Maintenance and Troubleshooting

Guidelines for maintaining Power BI solutions and troubleshooting common issues to ensure uninterrupted data analysis and visualization.