Parthasarathi

Years of Experience in Microsoft Excel Training classes

3

Years of Experience in Microsoft Power BI classes

3

Teaching Experience in detail in Microsoft Power BI classes

Teaching Power BI to students is a great idea, and it can provide them with valuable skills for data analysis, visualization, and business intelligence. Here's a suggested structure for your lessons: 1. Introduction to Power BI What is Power BI? Explain the purpose and benefits of Power BI as a business analytics tool for visualizing and sharing insights from data. Overview of Power BI Components Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Report Server. 2. Installing Power BI Installation Process Guide students through the installation of Power BI Desktop (free version) on their devices. 3. Getting Started with Power BI Understanding the Interface Introduce the main interface, focusing on the ribbon, panes (fields, visualizations), and data model. Creating a Simple Report Walk through importing data from various sources like Excel, SQL Server, and other files. Show how to create basic visualizations like bar charts, line graphs, and tables. 4. Data Transformation with Power Query Using Power Query Editor Teach students how to clean and transform data using Power Query Editor, including filtering, merging, and shaping the data. Basic Data Manipulation Cover operations such as removing duplicates, splitting columns, changing data types, and pivoting. 5. Data Modeling Creating Relationships Explain the concept of relationships between tables (one-to-many, many-to-one) and teach students how to create relationships in Power BI. Using DAX (Data Analysis Expressions) Introduce basic DAX functions like SUM, AVERAGE, and CALCULATE to create calculated columns and measures. 6. Building Interactive Reports Creating Visualizations Teach students how to use various types of visualizations (bar charts, pie charts, maps, etc.) and how to customize them. Filters and Slicers Show how to add interactivity with slicers, filters, and drill-throughs, allowing users to slice the data by different dimensions. 7. Power BI Service Publishing Reports Walk through publishing reports from Power BI Desktop to Power BI Service (online). Sharing and Collaboration Teach how to share reports and dashboards with others, including using workspaces, creating apps, and setting up permissions. 8. Advanced Topics (Optional) Power BI Dashboards Demonstrate how to create and organize dashboards by pinning visuals from reports. Row-Level Security Teach how to implement row-level security to restrict data visibility based on user roles. Power BI Mobile App Briefly introduce the Power BI mobile app and how to view and interact with reports on mobile devices. 9. Best Practices Effective Visualization Techniques Discuss the importance of clarity, choosing the right chart type, and avoiding common mistakes. Data Refresh Explain how to schedule data refreshes in Power BI Service and the importance of up-to-date data. 10. Hands-On Projects Real-World Scenarios Assign projects where students analyze actual datasets and create reports/dashboards. This will help them solidify the concepts and gain practical experience. Additional Resources Microsoft Power BI Documentation Encourage students to use the official documentation for deeper understanding. Power BI Community and Forums Let students know about forums like the Power BI Community for troubleshooting and learning from others.

Years of Experience in Goods and Service Tax (GST) classes classes

7