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Microsoft PBI Data Analyst Certification | Course 7: Deploy and Maintain Power BI Assets and Capstone project

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Microsoft PBI Data Analyst Certification | Course 7: Deploy and Maintain Power BI Assets and Capstone project

Tailwind Traders Executive Dashboard

About this project

Tailwind Traders Executive Dashboard Comprehensive Analysis of Sales Performance, Customer Insights, and Strategic Profitability Metrics

Summary of the Task for Each Capstone and How I Did It:

  • Capstone 1: Data Preparation and Modeling Prepared and configured sales, purchases, and country data for analysis. This involved calculating metrics like Gross Revenue, Total Tax, and Net Revenue, setting appropriate data types, and creating relationships between tables. I also designed a Calendar table and a calculated Sales in USD table, ensuring a strong foundation for time-based analysis.
  • Capstone 2: Aggregations and Insights Developed advanced metrics using DAX, such as Yearly Profit Margin, Quarterly Profit, and YTD Profit. These calculations were integrated into interactive visuals like bar charts, pie charts, and line graphs to provide actionable sales and profit insights. I optimized the report performance using the Performance Analyzer to ensure smooth functionality.
  • Capstone 3: Dashboard Creation and Presentation Created an Executive Dashboard to visualize sales and profitability metrics through interactive KPIs and slicers. The dashboard was designed for both desktop and mobile layouts, ensuring accessibility and usability across devices. I published the report to Power BI Service for sharing and collaboration.

Skills That I Learned and Short Insights:

Throughout this project, I developed and applied a range of key skills, including:

  • Data Preparation and ETL: Cleaning, transforming, and modeling data for analysis.
  • Advanced DAX: Creating complex measures and time intelligence calculations for insightful reporting.
  • Interactive Visualization Design: Designing user-friendly dashboards with bar charts, pie charts, KPIs, and slicers.
  • Performance Optimization: Using tools like the Performance Analyzer to ensure reports load efficiently.
  • Responsive Design: Optimizing dashboards for both desktop and mobile layouts.

Insights: This project reinforced the importance of combining technical skills with effective storytelling in data analytics. A well-designed dashboard not only answers questions but also guides decision-makers toward actionable insights.

Conclusion:

This project was a pivotal step in my journey to becoming a Microsoft Power BI Data Analyst. By applying the skills learned across the capstone projects, I gained practical experience in preparing, analyzing, and visualizing data for impactful decision-making. As I approach the final course and prepare for the PL-300 Certification, I’m excited to take on real-world data challenges and continue growing as a data professional.

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