
Learn to build your first Power BI report by importing Excel data via the navigator, selecting visuals, and formatting charts, with best-practice tips for tables and refresh.
Explore the Power Query Editor in Power BI, performing data transformations, including importing Excel data and splitting columns, then grouping, adding or modifying columns, and merging or duplicating queries.
Discover how DAX measures calculate on the fly, are stored nowhere, and remain flexible across any visual and dimension—from products to customers—when model relationships exist.
Set up a Power BI data model by importing Excel data, transforming with Power Query, and creating a date table to support a robust fact and dimension schema.
Master running totals and time intelligence challenges in Power BI by building a cumulative sales measure with a date table, using date add, and correcting filter context to align dates.
Discover quick measures in Power BI and unleash AI copilot to generate DAX expressions, creating year-to-date totals and running sums from your data.
Explore AI visuals in Power BI Desktop, including the Q&A visual, key influencers, decomposition tree, and narrative visuals, plus Quick Measures and Copilot for DAX generation.
Learn to classify customers into top, middle, and bad using a dax-based ranking on total sales, with a helper table and advanced measures for targeted visuals.
Explore how DAX variables help compare weekday and weekend sales in Power BI. Build two measures using var and return to sum weekend and weekday sales from a dates table.
Design a Power BI third report using background templates and imported images, then build visuals—timeline, bar and line charts, KPIs, and a donut chart—with white-on-dark styling.
Master using calculate with multiple criteria in Power BI, applying or logic via boolean expressions or the filter function to filter total sales between 15 and 25 or outside range.
Clean and set up a Power BI model using metastable trick to create a measures table, move measures, import data, fix date formats, and link a dates table for relationships.
Explore how all and allselected with calculate control filter context in Power BI to compute total sales and percent of total while preserving external region filters.
Learn how the keep filters modifier preserves external filters while applying a given expression in power bi, and compare its behavior to filter, all, and values using a category example.
Learn how calculate acts as a modifier to activate an inactive relationship using use relationship, enabling comparison of order date and ship date in the dates table for total sales.
Explore time intelligence in Power BI by using CALCULATE with same period last year and moving total to compute prior-year sales and rolling 12-month totals.
Explore importing custom visuals from app source to enhance Power BI reports, using Esther plot, Sankey chart, and radar chart, and learn to pin visuals and load Excel data.
Create your own date tables in Power BI using DAX or M code, with calendar or calendar auto, dynamic end dates based on today, and optional extra columns.
Understand the difference between sum and sumx in Power BI, with sumx iterating row by row (quantity times price) and sum aggregating columns, plus how data modeling choices affect results.
Learn time intelligence, advanced visualizations, and navigation best practices in Power BI masterclass 2, including bookmarks, bookmark-triggered visuals, pop-ups, and drill-through in finance reports.
Learn cascading slicers in Power BI without bidirectional relationships. Create a measure to filter the suppliers slicer using data from the orders table and dates table.
Learn to color Power BI bars using new conditional formatting rules based on string values, such as if value equals a category or contains text, without writing measures.
Explore formatting options for measures in Power BI, including thousand separators, currency and unit displays, plus custom or dynamic format strings, and note format converts numbers to text in tables.
Learn how to identify and remove unused measures in Power BI using the Measure Killer tool, with portable and admin options, and back up your report before deleting.
Master a Power Query tip to copy selected tables between reports, and learn how Mac users now access Power Query in the service via Get Data.
Learn Power BI from scratch and build real reports, dashboards, and data models step by step.
This course takes you from beginner to intermediate level, covering data cleaning, data modeling, DAX, and report creation using real-world scenarios.
You will learn how to turn raw data into structured insights and create professional reports used in business environments.
Learn how to use Microsoft Power BI to clean, transform, analyze, and visualize data — starting from the basics and progressing to more advanced techniques.
This course is designed as a structured learning path. You will begin with the fundamentals of Power BI Desktop and gradually move into data modeling, DAX calculations, and report design.
You will work with practical examples and real-world datasets to understand how Power BI is used in business environments to support decision-making.
What makes this course different
This course focuses on a complete workflow rather than isolated features.
You will not just learn individual tools, but how to connect data sources, transform data, build models, and create reports in a structured and practical way.
What you will learn
Import and connect data from different sources
Clean and transform data using Power Query (ETL)
Build data models using relationships and structured tables
Write DAX calculations for analysis and reporting
Create interactive dashboards and reports
Apply best practices for report design and usability
Use AI visuals and advanced features within Power BI
Work with real-world scenarios and datasets
How you will learn
This course follows a hands-on approach. You will start from zero and build your knowledge step by step through practical examples.
Each section builds on the previous one, allowing you to develop a complete understanding of the Power BI workflow.
Additional topics covered
Data transformation with Power Query
Introduction to data modeling concepts
DAX fundamentals and practical calculations
Dashboard design and interactivity
AI features in Power BI
Who this course is for
Beginners who want to learn Power BI from scratch
Excel users who want to move into data visualization and reporting
Aspiring data analysts who want to build practical skills
Professionals who want to improve their reporting and dashboard capabilities
Anyone looking for a structured introduction to Power BI