
What is Power BI? – Introduction to Microsoft Power BI, its role in Data Analytics & Visualization (தமிழ் விளக்கம்).
Why Power BI is important – Industry demand, job opportunities, and why it’s popular (no coding required).
Series Overview – What students will learn from start to finish in this course.
Tools Required – Installing Power BI Desktop & details about sample datasets (dataset link will be shared later in the course).
In this video, you’ll learn how to download and install Power BI Desktop, explore its menu options, and configure essential settings like disabling Auto Date/Time for better performance and control in your projects.
Learn how to interpret client requirements, translate them into measurable KPIs, and review available data sources. This lesson also covers listing required calculations before starting your Power BI project.
Learn how to validate raw data for accuracy, identify missing or duplicate values, and create dimension tables to improve your Power BI model. This lesson covers practical techniques to prepare clean, well-structured data for building relationships.
Understand how to create and manage relationships between tables in Power BI. This lecture covers relationship types, cardinality, cross-filter direction, and best practices for building a reliable data model.
Learn the difference between measures and calculated columns, when to use each, and how to write DAX formulas effectively. This lecture includes practical examples for common business scenarios.
Dive deeper into advanced DAX formulas and learn how to create complex calculated columns. Understand optimization techniques to improve performance while ensuring accuracy in calculations.
Learn how to create impactful visuals and integrate slicers to enhance interactivity. This lecture covers best practices for choosing chart types, formatting visuals, and using slicers to filter data dynamically.
Adding more meaningful visuals to convey insights effectively
Using proper slicers for filtering data accurately
Managing visual interactions between charts for better storytelling
Adding clear and descriptive titles to visuals
Enabling and customizing visual interactions to improve user experience
In this session, we focus on building a visually appealing and insightful Trend View Page that highlights key performance indicators over time. You’ll learn:
How to display Orders, Sales, Growth & Revenue trends effectively
Best practices to quickly adjust and refine visuals
How to choose the right color theme for better readability and branding
Where to find free icons to make your dashboards more attractive and engaging
This course takes you through a complete Power BI End-to-End Project in Tamil, guiding you step-by-step from raw data to a fully interactive and professional dashboard. Using a retail sales analytics scenario with Excel data, you will learn the exact workflow followed by Power BI professionals in real-world projects.
You will gain hands-on experience in:
Power BI Desktop installation, setup, and essential settings before starting a project
Data validation, cleaning, and creating dimension tables for better modeling
Building relationships and data models to connect multiple data sources
Writing DAX measures for KPIs such as Total Sales, Profit, Quantity Sold, Repeat Customers %, and more
Designing clean, user-friendly, and interactive dashboards with effective visuals
Adding slicers, filters, navigation buttons, and page controls for better user experience
Publishing reports to Power BI Service for online sharing and collaboration
Scheduling data refresh to keep dashboards updated automatically
Sharing insights securely with your team or clients
This project-based learning approach ensures you not only understand the concepts but also apply them confidently in a workplace setting.
By the end of this course, you will have the skills and confidence to create, publish, and share professional dashboards in Power BI, entirely taught in Tamil for better understanding. Whether you are a beginner or aiming to become a Power BI professional, this course will help you take a big step toward data analytics mastery.