Overview

By the end of this course, learners will be able to apply Power BI tools to analyze datasets, build interactive visualizations, perform segmentation and geographic analysis, implement data modeling, and design professional, mobile-ready reports. Learners will also be able to interpret insights from real-world business data and communicate findings effectively through dashboards and narratives. This course is designed to provide hands-on, project-based experience with Microsoft Power BI, guiding learners from foundational setup and functions to advanced analytics and professional reporting. Through structured modules, learners work with real datasets such as socio-economic indicators, retail data, and housing data to develop practical, job-relevant skills. The course emphasizes not only how to build visuals, but also how to think analytically—reviewing datasets, validating insights, identifying key influencers, and making data-driven decisions. What makes this course unique is its strong focus on end-to-end Power BI projects and real-world scenarios, combined with mobile dashboard design and storytelling features. Learners completing this course will gain confidence in using Power BI for business analytics, reporting, and decision support, making them better prepared for data analyst and business intelligence roles.

Syllabus

Power BI Foundations and First Insights

This module introduces learners to the Power BI environment and establishes a strong analytical foundation. Learners explore Power BI Desktop, understand core functions, navigate menus, import real-world datasets, and begin interpreting visualizations. The module prepares learners to confidently work with data and visuals before progressing to advanced analytics and project implementation.

Data Understanding and Visual Analytics

This module focuses on transforming raw data into actionable insights through structured analysis and visualization techniques. Learners examine dataset attributes, perform segmentation analysis, apply filters and charts, leverage storytelling features, and implement data modeling and influencer analysis to support informed decision-making.

Advanced Analysis and Geographic Insights

This module advances analytical skills by incorporating geographic and real-world data analysis. Learners review datasets for accuracy, perform continent-level comparisons, implement map visualizations, and analyze practical datasets such as housing data to derive contextual, location-based insights.

Professional Reporting and Mobile Dashboards

This module emphasizes professional report delivery and mobile-first design. Learners work with business datasets, build customized visuals, conduct category and branding analysis, and design optimized mobile layouts to ensure insights are accessible, actionable, and presentation-ready across devices.