Microsoft's Power BI is a business intelligence (BI) and data visualization tool that helps users make better decisions by analyzing data, generating reports, and creating interactive dashboards.
Level
Intermediate
Duration
8 Weeks



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Microsoft created Power BI, a cloud-based business intelligence and analytics platform that facilitates the connection, visualization, and analysis of data from various sources for enterprises. With its user-friendly drag-and-drop interface, users can create interactive dashboards, real-time reports, and data-driven insights.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Power BI
An overview of Power BI Discover the definition of Power BI, its elements, and its function in data and business intelligence.
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Sales Performance Dashboard
To monitor overall revenue, sales trends, and customer behavior, create an interactive sales analytics dashboard. Link to information from CRM, SQL Server, or Excel systems. Track monthly, quarterly, and annual performance with KPIs. Use DAX metrics for top-selling products, YoY growth, and profit margin. Include slicers and filters for product category, salesperson-level insights, and region.
Financial Budget vs. Actual Report
Create a dashboard for financial reporting that compares actual performance across cost centers and departments to budgeted performance. Combine information from databases, Excel, and ERP systems. Use trend lines, KPIs, and bar charts to visualize variance analysis. To limit sensitive data for various user roles, use Row-Level Security (RLS). Schedule data refreshes automatically for up-to-date financial insights.
Customer Churn & Retention Analysis
To analyze customer attrition and identify factors that affect retention, create a customer analytics dashboard. Connection to CRM and subscription data sources. Use DAX measures to ascertain churn rates, lifetime value (LTV), and retention trends. Use AI-powered visualizations like Key Influencers and Decomposition Tree to predict churn. Offer useful advice to improve customer relations and marketing strategies.

What is Power BI?

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