microsoft power bi

1. Introduction to Power BI

• What is Power BI and why is it important in data analysis?

• Understanding the Power BI interface and tools.

• Differences between Power BI Desktop, Power BI Service, and Power BI Mobile.

• Setting up Power BI Desktop and Power BI account.

2. Getting Started with Power BI Desktop

• Connecting to different data sources: Excel, CSV, databases, web, and more.

• Importing and transforming data using Power Query.

• Understanding tables, queries, and data models in Power BI.

• Cleaning and reshaping data for analysis.

3. Data Modeling in Power BI

• Creating relationships between tables (one-to-one, one-to-many, many-to-many).

• Understanding data normalization and creating a star schema.

• Introduction to DAX (Data Analysis Expressions) for calculations and metrics.

• Building calculated columns, measures, and KPIs.

4. Creating Visualizations

• Choosing the right visualization: Bar charts, line charts, pie charts, tables, maps, and more.

• Customizing visuals: Formatting colors, titles, legends, and axis.

• Using slicers and filters to make reports interactive.

• Creating and editing visuals in Power BI.

5. Power BI Dashboards

• Building interactive dashboards with multiple reports.

• Publishing and sharing your Power BI reports.

• Embedding visualizations in reports and using bookmarks for navigation.

• Designing a user-friendly interface for dashboards.

6. Advanced Features in Power BI

• Working with advanced DAX functions and calculations.

• Understanding row-level security to control data access for different users.

• Integrating Power BI with Excel and other Microsoft tools.

• Using Power BI Service to collaborate, share, and manage reports

7. Power BI Query Editor (Power Query)

• Deep dive into Power Query: Filtering, sorting, merging, and appending data.

• Transforming and cleaning data using Power Query editor.

• Using advanced transformations like pivoting, unpivoting, and creating custom columns.

8. Power BI for Data Analysis & Reporting

• Time intelligence in Power BI: Working with date and time data.

• Analyzing and visualizing data trends, correlations, and patterns.

• Creating report pages, visuals, and drill-through reports.

• How to effectively communicate your data insights.

9. Power BI Mobile & Sharing Reports

• Optimizing reports for mobile devices.

• Sharing your Power BI reports with others in your organization.

• Setting up data refresh schedules to keep reports up-to-date.

• Publishing reports to the Power BI cloud service.

10. Final Project & Certification

• Create a comprehensive Power BI report or dashboard using real-world datasets.

• Showcase your skills in building an interactive, visually engaging report.

• Receive personalized feedback on your final project and get a certificate of completion.

Software Requirements:

• Power BI Desktop (free download from Microsoft’s official website).

• Access to data sources like Excel, CSV files, or databases.

• A Power BI account (for sharing and collaboration; free version available).

Key Takeaways from this Course:

• Master data modeling and visualizations in Power BI.

• Learn how to work with both simple and complex datasets.

• Gain a deep understanding of DAX for advanced data calculations.

• Develop the ability to create interactive reports and dashboards.

• Learn how to use Power BI in a business setting for data-driven decision-making.

Target Audience:

• Business analysts, data analysts, and professionals looking to upskill in data visualization.

• Beginners who want to learn how to analyze and visualize data using Power BI.

• Managers or decision-makers who want to gain insights from business data.

• Anyone who wants to learn data modeling, reporting, and dashboard creation.

Materials Included:

• Video tutorials and lectures on Power BI concepts.

• Downloadable Power BI project files and practice datasets.

• Quizzes and assignments to test your understanding.

• Access to additional resources and reading materials to deepen your knowledge.

Requirements/Instructions:

• A computer with an internet connection.

• Basic knowledge of Excel or data analytics concepts is helpful but not required.

• Power BI Desktop installed (free version) to complete practical exercises.