With Microsoft Power BI, employees learn to create interactive dashboards and vividly visualize complex data. You'll be able to integrate large amounts of data from various sources and turn them into understandable, easy-to-interpret reports. Applying Power BI enables faster decision-making and clearer communication of business results. Companies benefit from a better overview and a data-driven culture that increases efficiency and agility.

With Microsoft Power BI, companies can transform their data into appealing, interactive dashboards that quickly deliver important insights. Power BI makes it easy and effective to visualize complex data to make well-founded, data-driven decisions.

Benefits for you as a company:

• Improve decision making with interactive, easy-to-understand data visualizations
• Increasing efficiency through centralized, prepared data in a dashboard
• Fostering a data-driven corporate culture
• Faster identification of trends, patterns, and key figures
• Optimize teamwork through transparent and accessible reports in real time

1. Introduction to Power BI: Basics and User Interface

• What is Power BI and why is it an essential tool for data analysis?
• Power BI desktop interface overview: menus, panels, and views
• Create a first report: import data, add visualizations, and create your first dashboard
• Create connections to various data sources (Excel, databases, web APIs, etc.)

2. Importing and Transforming Data: Using Power Query

• Introduction to Power Query: How to import and transform data from multiple sources
• Data cleansing: remove duplicates, adjust data types, correct incorrect values
• Apply filters and transformations: How to model data to meet your needs
• Enrich and merge data: Combine multiple data tables and create joins

3. Create visualizations: charts, tables & maps

• Understanding different types of visualization: bar, line, pie, and scatter charts
• Create interactive dashboards: connect visualizations and use interactive filters
• Use Power BI maps: visualize geodata on a map and perform geographic analyses
• Tailored visualizations: Adjusting charts and design to better communicate your results

4. Data modeling: Defining relationships and hierarchies

• Creating relationships between tables: How to set up connections for effective analysis
• Working with hierarchies: Using dimensions such as years, months, and days in analyses
• Create calculated columns and key figures: DAX (Data Analysis Expressions) as a powerful tool

5. Introduction to DAX: How to create custom calculations and metrics in Power BI

• Advanced Features in Power BI: Calculations and Measures
• Creating calculated columns and measures (KPI's): Using DAX to calculate metrics
• Complex DAX functions: SUMX, AVERAGEX and IF to create detailed calculations
• Time intelligence in Power BI: analysis of trends and periodic calculations (e.g. comparison between months, quarters, and years)
• Using measures for dynamic calculations: Update and visualize key figures in real time

6. Designing Reports and Dashboards: Design Principles and Usability

• Dashboard Design Best Practices: Clarity, Consistency, and Ease of Use
• Branding and formatting: How to customize dashboards to create professional and appealing reports
• Use Power BI themes and custom formatting for consistent designs
• Add buttons and interactive controls: improve navigation and user experience in the report

7. Interactive dashboards and real-time data visualization

• Slicing and filtering: How to create interactive dashboards that provide user control
• Drill down and drill through: Deeper analysis through interactive elements in your dashboards
• Real-Time Data Visualization: Stream data in Power BI and update dashboards in real time

8. Reporting with Power BI: Exporting and printing dashboards and creating PDF reports

• Publishing reports on Power BI Service: How to share and publish your reports online
• Work with Power BI Workspaces: Work together on dashboards and reports
• Power BI security and permissions: Apply data access and security to reports and dashboards
• Interactive dashboard sharing options: Using Power BI apps and embedded solutions

9. Power BI and Excel: Combining the two tools for advanced data analysis

• Integrate Excel data with Power BI: How to seamlessly import Excel workbooks into Power BI
• Using Excel pivot tables in Power BI: Combine your Excel data with Power BI visualizations
• Excel and Power BI: How to use Excel as a preparation tool for Power BI reports

10. Best practices & error prevention: Work more efficiently and without errors

• Best practices for data modeling and visualization in Power BI
• Avoid common mistakes: ensure data quality and generate consistent reports
• Performance optimization in Power BI: How to efficiently analyze large amounts of data
• Maintenance and regular updates of dashboards and data sources

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