Microsoft Power BI is a transformative tool in small to big business environments. It helps to consolidate data from various sources like SQL, Spreadsheets, PDF, CRM apps, Payroll apps, Point-of-sale systems, Google Analytics, Social media engagement etc. It enables a business to view all its key metrics in one place. The tool’s ability to create dynamic and interactive visual reports helps teams quickly grasp complex data, identify trends, and spot potential issues. Power BI integrates well with existing Microsoft tools and legacy systems, allowing businesses to modernize their operations without a complete overhaul gradually. By the end of the course, beginners will be able to use Power BI to analyze business data, create visual reports, and make data-driven decisions.

2 goals
Designed & offered by experts from Human Resource Management, Marketing, Statistics & Computer Science.
beginners guide
Broaden your expertise in a new area with this module focussed on building foundations.
Flexible schedule
Learn at your pace with approximately 0 mins of reading & 29 mins of watching.
Self contributed
The notes for this module has been designed and contributed by the creator and the supervisor.
Goal 1

The first goal of the module is to explain both the strategic and operational benefits of Power BI. Get familiarisation with the application window so that the learner can go around the application easily. Recognize the value of using data to make decisions, which can lead to more effective strategies. Explain how to transform raw data into actionable insights. Furthermore, share insights and reports with a team, improving communication and collaboration across the organization. Connect to live data sources, such as ERP systems, or social media feeds, to create real-time dashboards and alerts.

 

Goal 2

Power BI is a versatile tool that can be used for various types of analysis, making it valuable for businesses across different industries. Learn to visualize historical data with line charts, bar charts, and pie charts to display important metrics. Drill-down capabilities, filters, and relationships between datasets to explore data deeper and uncover the underlying reasons for specific outcomes. Integrate with advanced analytics tools Python for statistical modeling for predictive analytics visualizations. 

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