The Power BI Dashboard Masterclass is a hands-on, beginner-friendly course designed to help you master the art of transforming raw data into insightful reports. Across 15+ practical sessions, you’ll explore how to import, clean, analyze, and visualize business data using Power BI Desktop and DAX formulas.
About Course
This course is focused on building interactive dashboards, understanding business KPIs, and using visual storytelling techniques. From importing Excel/SQL data to publishing dashboards on the Power BI Cloud, each step is designed to make you job-ready for data analysis and reporting roles.
No coding is required—Power BI has a user-friendly, drag-and-drop interface.
Yes, it includes DAX basics and dives into advanced calculations and functions.
Absolutely—you'll learn to connect to Excel, SQL databases, and cloud services.
Yes, projects are based on practical business scenarios across industries.
Yes, the course covers publishing, sharing, and managing dashboard access securely.
What Will You Learn?
- Power BI Interface & Data Importing – Get comfortable with the workspace, importing data from Excel, SQL, and APIs.
- Data Cleaning with Power Query – Remove errors, transform data types, and handle missing values using M-Code and the Query Editor.
- Data Modeling – Create relationships, build star schemas, and optimize your data models for reporting.
- DAX Fundamentals – Learn calculated columns, measures, time intelligence, and context functions for powerful analysis.
- Interactive Report Design – Build dashboards with slicers, cards, KPI visuals, and drill-through navigation.
- Publishing & Sharing Reports – Publish to Power BI Service, schedule refreshes, and manage workspace access.
Audience
Perfect for data analysts, business users, Excel power users, finance professionals, and anyone interested in data visualization and reporting with no prior coding experience.
Course Content:
Understanding the role of a data scientist
Key concepts in data science
Overview of the data science process
Python programming basics
Data manipulation with pandas
Data visualization with matplotlib and seaborn
