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Power BI: Intermediate Data Analysis Techniques

Name: Power BI: Intermediate Data Analysis Techniques
Rating: 4.7 (1076 reviews)

Advancing Data Modeling, DAX, and Visualization Skills for Smarter Insights

(139 Reviews)

Course Schedule

10-14 Aug 2026

Online

$3,950

Prepare Yourself for Power BI: Intermediate Data Analysis Techniques Course

The Power BI: Intermediate Data Analysis Techniques Course is designed for professionals ready to move beyond basic reporting and develop stronger analytical and visualization capabilities. This course bridges the gap between beginner and advanced Power BI proficiency, giving participants the tools to model complex data, create calculated measures, and transform datasets into meaningful business insights.

Participants will explore core intermediate concepts such as relational data modeling, DAX (Data Analysis Expressions), and advanced data transformation techniques using Power Query. Through structured, hands-on exercises, they will learn to design reports that are both functional and visually compelling.

By mastering these intermediate skills, participants will be able to streamline analysis, improve reporting accuracy, and prepare for advanced Power BI analytics and dashboard design. This course ensures that every learner gains practical experience and confidence in working with real-world business data.

Key Learning Outcomes and Objectives?

The Power BI: Intermediate Data Analysis Techniques Course builds the analytical, technical, and visualization competencies necessary to make confident data-driven decisions. Through guided instruction and practice, participants will strengthen their ability to transform, analyze, and interpret data within Power BI.

By the end of this course, participants will be able to:

Build and manage efficient data models using relationships and schema design.
Apply DAX functions to create dynamic calculated columns and measures.
Perform advanced data transformations using Power Query for data cleaning and merging.
Design interactive, multi-layered dashboards with drillthrough functionality.
Optimize Power BI reports for performance and usability.
Integrate multiple data sources and enhance analytical consistency.
Prepare for advanced Power BI analytics and future certification.
Implement intermediate-level reporting strategies that communicate insights effectively.

Is This Course Right for You?

This course is ideal for professionals with foundational Power BI knowledge who want to elevate their analytical expertise. It is especially suitable for individuals involved in data-driven decision-making who aim to enhance their modeling and reporting proficiency.

Whether you’re a Data Analyst, Business Data User, Financial Analyst, or Operations Professional, this course will equip you with the technical and analytical tools to handle more complex datasets, create optimized data models, and visualize insights effectively.

The AI Academy Learning Approach

The Power BI: Intermediate Data Analysis Techniques Course follows a practice-oriented, experiential learning approach designed for immediate application. Each session blends instructor-led demonstrations with guided exercises that mirror real business challenges.

Participants will engage in data modeling projects, create DAX-based analytical solutions, and explore the full functionality of Power Query. Interactive discussions, group problem-solving, and case-based projects encourage collaboration and reinforce technical mastery.

By course completion, professionals will have developed the confidence to handle mid-level Power BI projects, transforming raw datasets into clear, actionable reports and dashboards that enhance business decision-making accuracy.

Course Outline Summary

Designing advanced data models using normalization and star schema techniques
Establishing complex data relationships and building practical data models
Understanding DAX fundamentals and creating calculated columns and measures
Applying key DAX functions for insightful data analysis and reporting
Cleaning, transforming, and merging multi-source datasets using Power Query
Creating custom columns and ensuring data consistency during transformation
Developing interactive reports with bookmarks, buttons, and drillthrough features
Applying intermediate visualization techniques for dynamic reporting
Exploring advanced DAX functions and complex data modeling methods
Introducing advanced Power BI capabilities including custom visuals and R/Python integration