Training Overview
Disclaimer: This course is independently developed and not affiliated with Microsoft. It covers concepts and skills that closely align with the objectives of Microsoft’s PL-300: Design and manage analytics solutions using Power BI training, making it a strong preparatory or complementary learning experience.
Scalable Analytics with Power BI: From Ingestion to Modeling to Insight Activation
This three-day advanced custom training, empowers participants to transform raw data into impactful, self-service analytics using Microsoft Power BI. It focuses on developing skills to model, visualize, and analyze data in alignment with business objectives, collaborate effectively to source relevant data, manage and secure Power BI environments confidently, and enhance analytics workflows by integrating AI-powered assistance through Microsoft Copilot.
This advanced custom training, is ideal for data professionals, analysts, and technical consultants aiming to enhance enterprise productivity through intelligent data storytelling and automation.
Module Breakdown:
Get Started with Microsoft Data Analytics: Introduces the Power BI ecosystem and the role of a data analyst. Participants explore how analytics drives business value and how Power BI fits into broader data strategies.
Prepare Data for Analysis with Power BI: Covers data ingestion, profiling, and cleansing using Power Query. Learners will shape and transform data from diverse sources to ensure quality and consistency.
Model Data with Power BI: Focuses on building robust data models using relationships, hierarchies, and DAX (Data Analysis Expressions). Participants learn to optimize performance and enable scalable insights.
Design Effective Reports in Power BI: Teaches best practices for creating intuitive, interactive reports. Emphasis is placed on storytelling, layout, and accessibility to empower decision-makers.
Implement Advanced Data Visualization Techniques: Explores custom visuals, bookmarks, drill-throughs, and dynamic filtering to elevate report interactivity and user engagement.
Manage and Secure Power BI Assets: Covers workspace management, data security, row-level security (RLS), and governance strategies to ensure compliance and protect sensitive information.