Microsoft Power BI 2026-Complete Course-Beginner to Advanced

Lecture: Row-Level Data Transformation in Power BI

Let’s talk about cleaning and organizing data in Microsoft Power BI.
Before we dive into visualizations, it's essential to clean our data sets. This lecture on row-level data transformation in Microsoft Power BI covers five critical steps: removing top rows, promoting headers, renaming columns/tables, filtering nulls, and handling duplicates. With step-by-step guidance in Power Query Editor, you’ll learn how to prepare clean, structured data for reliable insights in Microsoft Power BI.

Automatic Data Type Detection- Adjusting Data Types For Accuracy in Microsoft Power BI

✅Objective of the Course

This lecture aims to help understand the importance of correctly setting data types in Microsoft Power BI, ensuring data accuracy and reliability throughout the reporting process. Misaligned data types can lead to incorrect calculations, poor filtering, and misleading visualizations—issues that are easily avoidable with proper data transformation techniques.

✅ Summary

In Microsoft Power BI, every column in a dataset is assigned a specific data type—such as decimal number, whole number, date, time, or text. These data types govern how Power BI interprets and manipulates the data for visuals, summaries, and analytics. For example, numerical columns enable aggregate functions like SUM or AVERAGE, while date fields support trend lines and time-based charts.

This lecture focuses on mastering the Power Query Editor to adjust and verify data types for more accurate analysis. The training is broken down into five key stages:

1. Automatic Data Type Detection

2. Manual Data Type Adjustment

3. Editing Multiple Columns at Once

4. Removing Unnecessary Columns

5. Fixing Formatting Issues

Lecture: Manually Changing Data Types – Adjusting for Accuracy

Accurate data types are essential for meaningful analysis in Microsoft Power BI. In this lecture, you'll learn how to manually change column data types to ensure correct calculations and visuals. Whether it's converting text to numbers, dates to date/time, or correcting mismatches, these small tweaks can have a big impact. Mastering data types helps avoid errors and improves report reliability.

You'll be working hands-on in Power Query Editor and the Microsoft Power BI Data view to build solid, error-free models.

Clean data starts with the right type — in Microsoft Power BI!

Lecture: Replacing Values in Columns

In this lecture, you’ll discover how to replace values in columns to clean and standardize your data using Microsoft Power BI. Whether you're correcting spelling errors, unifying inconsistent entries, or replacing missing data with defaults, this technique ensures your data is analysis-ready.

Learn how to perform value replacements efficiently in Power Query Editor — a critical step toward creating reliable, insightful reports in Microsoft Power BI.

Data consistency begins with clean columns — only in Microsoft Power BI.

Lecture: Changing Data Types Using Locales

Regional data formats can vary — dates, numbers, and currencies may differ by country. In this lecture, you'll learn how to accurately convert such values by changing data types using locales in Microsoft Power BI. This ensures that international datasets are interpreted correctly, avoiding miscalculations and formatting issues.

You’ll explore locale settings in Power Query to align your data with regional standards — a must-know feature in Microsoft Power BI for global reporting accuracy.

Transform global data with confidence in Microsoft Power BI.

Lecture: Extracting Specific Characters in Microsoft Power BI

Sometimes, raw data contains extra characters, codes, or prefixes that need cleaning. In this lecture, you’ll learn how to extract specific characters from columns using built-in text functions in Microsoft Power BI. Whether it's trimming, extracting first names, or pulling specific digits from IDs, this technique enhances data clarity and structure.

Master text transformations in Power Query to create cleaner, more accurate reports — all within the power of Microsoft Power BI.

Extract value from your data, one character at a time — with Microsoft Power BI.

Lecture: Simplifying Data with Column Splits and Merges

In this lecture, you'll learn how to simplify messy datasets by splitting and merging columns in Microsoft Power BI. Whether you're dividing full names, separating dates, or combining address fields, these techniques are essential for structuring data efficiently.

Using Power Query Editor, you'll perform practical transformations that make your data cleaner and more analysis-ready in Microsoft Power BI.

Simpler columns lead to smarter insights — powered by Microsoft Power BI.

Lecture: Creating Conditional Columns

In this lecture, you’ll learn how to add logic to your data by creating conditional columns in Microsoft Power BI. From categorizing sales performance to flagging specific conditions, conditional columns help you automate decision-making within your dataset.

Using Power Query Editor, we’ll explore how to build "if-then-else" logic that drives smarter data models in Microsoft Power BI.

Let your data think for you — with powerful conditions in Microsoft Power BI.

Lecture: Creating Columns from Examples

Unlock the power of AI-assisted transformations in Microsoft Power BI by creating columns from examples. In this lecture, you’ll learn how to generate new columns based on sample values you provide — no complex formulas required.

This feature helps simplify tasks like extracting names, formatting dates, or combining fields. Watch as Microsoft Power BI intelligently fills in the logic, saving you time and effort.

Let the tool learn from you — create smarter columns effortlessly in Microsoft Power BI.

Lecture: Mastering Query Merging in Power BI

Merging queries is a powerful way to combine data from multiple tables in Microsoft Power BI. In this lecture, you’ll learn how to use different join types to bring related data together, ensuring consistency and completeness in your reports.

From customer details to sales data, query merging helps build comprehensive models in Microsoft Power BI. We’ll explore real-world examples and best practices using Power Query Editor.

Build relationships across datasets — the smart way in Microsoft Power BI.

Lecture: Pivoting Columns in Power BI

Learn how to reshape your data by pivoting columns in Microsoft Power BI. In this lecture, you’ll discover how to turn repeating values into new columns — ideal for summarizing and analyzing grouped data effectively.

Whether you're transforming transactional logs or restructuring product categories, pivoting helps create cleaner, more insightful reports in Microsoft Power BI. We’ll use Power Query Editor to demonstrate best practices.

Reorganize your data for maximum clarity — only with Microsoft Power BI.

Lecture: Unpivoting Columns in Power BI

In this lecture, you'll learn how to normalize your data by unpivoting columns in Microsoft Power BI. Unpivoting is essential when you need to convert wide tables into a structured, row-based format for better analysis and modeling.

We’ll walk through real examples in Power Query to show how unpivoting helps organize data efficiently in Microsoft Power BI.

Tidy up your columns and make your data analysis-ready — with Microsoft Power BI.

Lecture: Pivoting and Unpivoting Columns Example

In this hands-on lecture, you'll explore real-world examples of pivoting and unpivoting columns using Microsoft Power BI. Learn when to apply each transformation to reshape your data for effective reporting and visualization.

By the end, you'll confidently handle wide-to-long and long-to-wide data formats in Microsoft Power BI, ensuring clean, structured datasets.

Master data flexibility and structure — all within Microsoft Power BI.

Lecture: Append Queries in Microsoft Power BI

In this lecture, you’ll learn how to append queries to stack datasets vertically in Microsoft Power BI. Whether you’re combining monthly reports, regional files, or repeated exports, appending ensures your data stays unified and analysis-ready.

We’ll demonstrate how to use Power Query Editor to append tables efficiently while preserving structure and consistency in Microsoft Power BI.

Combine multiple sources with ease — only in Microsoft Power BI.

Lecture: Cleaning and Standardizing Text Data in Microsoft Power BI

Messy text data can lead to inconsistent insights. In this lecture, you'll learn how to clean and standardize text data using powerful tools in Microsoft Power BI. From trimming spaces and fixing casing to replacing inconsistent values, we’ll cover it all to ensure your data is ready for accurate reporting.

You’ll perform hands-on transformations in Power Query, enhancing data quality across dashboards in Microsoft Power BI.

Clean text means clean insights — only with Microsoft Power BI.

Lecture: Cleaning and Transforming Numerical Data in Microsoft Power BI

Inaccurate numbers can break your analysis. In this lecture, you'll learn how to clean and transform numerical data in Microsoft Power BI to ensure reliable results. We’ll cover removing errors, handling missing values, rounding, and standardizing formats using Power Query tools.

With clean numerical data, your calculations and visuals in Microsoft Power BI become sharper, faster, and more accurate.

Trust your numbers — with proper transformations in Microsoft Power BI.

Lecture: Organizing Queries with Group in Power BI

Managing multiple queries can get overwhelming. In this lecture, you'll learn how to organize queries using groups in Microsoft Power BI to keep your data model clean and well-structured. Grouping queries improves navigation, enhances project clarity, and boosts productivity.

We'll explore practical steps to group, rename, and manage queries effectively inside Microsoft Power BI, especially in larger projects.

Stay organized and efficient — with smart grouping in Microsoft Power BI.

Lecture: Hide Tables in Microsoft Power BI

Not every table needs to be visible in your final report. In this lecture, you’ll learn how to hide tables in Microsoft Power BI to simplify your data model and create a cleaner user experience. Hiding unnecessary tables keeps your reports focused and easier to navigate.

You’ll explore when and how to hide tables in both Model and Report views of Microsoft Power BI, ensuring a professional and user-friendly layout.

Keep it clean, keep it clear — streamline with Microsoft Power BI.

Lecture: Combining Multiple Files from a Folder in Power BI

In this lecture, you'll learn how to combine multiple files from a folder into a single dataset using Microsoft Power BI. This is especially useful for automating data updates across recurring files like monthly reports or regional sales data.

We’ll walk through the process step by step using Power Query, making it seamless to consolidate data inside Microsoft Power BI.

Automate your data import and save time — all within Microsoft Power BI.

Lecture: Introduction to the Fact Dimensional Model

Understanding the Fact Dimensional Model is key to building scalable data models in Microsoft Power BI. In this lecture, you’ll learn the fundamentals of fact tables, dimension tables, and how they work together to support accurate analysis and reporting.

We’ll explore real-world scenarios and show how this model improves data relationships and performance in Microsoft Power BI.

Build smarter, structured models from day one — with Microsoft Power BI.

Lecture: How to Create Dataset Manually in Power BI

In this lecture, you’ll learn how to create a dataset manually in Microsoft Power BI without importing from external files. This technique is perfect for testing, creating lookup tables, or inputting small custom data directly into your model.

We’ll walk through step-by-step using the “Enter Data” feature in Microsoft Power BI to structure your tables effectively.

Start building from scratch — with full control in Microsoft Power BI.

Lecture: How to Create an Index Column

In this lecture, you’ll learn how to create an index column to uniquely identify each row in your dataset using Microsoft Power BI. Index columns are essential for sorting, joining, and tracking records during transformations.

We’ll use Power Query Editor in Microsoft Power BI to add, customize, and manage index columns for better control over your data model.

Add structure and logic to your data — efficiently in Microsoft Power BI.

Lecture: Basic Introduction of the Advanced Editor in Power BI

In this lecture, you'll get a basic introduction to the Advanced Editor in Microsoft Power BI, where you can view and modify M code behind your queries. This feature is perfect for gaining control over data transformations and automating repetitive tasks.

You’ll learn how to access, read, and make simple edits in the Advanced Editor to enhance your workflow in Microsoft Power BI.

Unlock the script behind your queries — only in Microsoft Power BI.

Lecture: Advanced Editor in Action – Hands-On Practical Session

In this lecture, you'll explore the Advanced Editor in Microsoft Power BI through a hands-on, practical approach. Learn how to view, modify, and manage transformation steps to gain more control over your data preparation process.

We’ll demonstrate how the Advanced Editor can help simplify queries, enhance performance, and support cleaner data models inside Microsoft Power BI.

Go beyond the interface — take charge of your queries with Microsoft Power BI.

Lecture: Reference Queries in Power BI

In this lecture, you’ll learn how to use reference queries in Microsoft Power BI to create new queries based on existing ones — without duplicating your data. This method helps maintain consistency, improve efficiency, and reduce redundancy in your data model.

We’ll walk through practical examples where referencing simplifies complex transformations inside Microsoft Power BI.

Save time and streamline your workflow — with reference queries in Microsoft Power BI.

Lecture: The Difference Between Duplicate Queries and Reference Queries in Power BI

In this lecture, you'll understand the key differences between duplicate queries and reference queries in Microsoft Power BI. Learn when to use each method, how they impact your data model, and which option offers better performance and flexibility.

We’ll explore side-by-side examples to clarify their behavior and best use cases in Microsoft Power BI.

Make smarter query decisions — with the right technique in Microsoft Power BI.

Lecture: Optimizing Data Models with Enable/Disable Load in Power BI

In this lecture, you'll learn how to optimize your data models by using the Enable/Disable Load feature in Microsoft Power BI. This technique helps improve performance by loading only necessary queries into the data model, reducing clutter and memory usage.

We’ll explore how to manage background queries effectively and streamline large projects inside Microsoft Power BI.

Boost performance and efficiency — with smarter data modeling in Microsoft Power BI.

Lecture: Mastering Group By – Data Aggregation in Power BI

In this lecture, you'll learn how to master the Group By feature for powerful data aggregation in Microsoft Power BI. Grouping data helps summarize large datasets by categories like region, product, or customer, making your reports more insightful and efficient.

We’ll demonstrate how to use Group By in Power Query to create clean, structured summaries in Microsoft Power BI.

Aggregate smarter, analyze faster — all with Microsoft Power BI.

Lecture: Power BI Parameters – Automating Filters and Calculations

In this lecture, you'll explore how to use parameters in Microsoft Power BI to automate filters and calculations dynamically. Parameters let you control data input, switch values, and create flexible models without manual changes.

We’ll walk through real-world examples to show how parameters enhance interactivity and streamline processes in Microsoft Power BI.

Add intelligence and flexibility to your reports — powered by Microsoft Power BI.

Lecture: Introduction to the M Language in Power BI

In this lecture, you'll get a beginner-friendly introduction to the M language used in Microsoft Power BI for data transformation. M powers the queries behind the scenes, enabling advanced data shaping and automation beyond the standard interface.

You’ll learn where M fits into the data workflow and how it enhances transformation capabilities in Microsoft Power BI.

Discover the scripting language that powers precision — only in Microsoft Power BI.

Lecture: Understanding M Syntax and Data Types in Power BI

In this lecture, you'll learn the fundamentals of M syntax and data types used in Microsoft Power BI. Understanding how M structures expressions and handles data types is essential for writing efficient, error-free transformations in Power Query.

We’ll explore common data types and the correct way to structure M expressions within Microsoft Power BI.

Strengthen your data foundations — with the power of M in Microsoft Power BI.

Lecture: Evaluation Flow and Data Transformations with M Language

In this lecture, you'll explore the evaluation flow and transformation logic of the M language in Microsoft Power BI. Understanding how M processes steps sequentially helps you build efficient, predictable data transformation scripts.

We’ll walk through how query steps are evaluated and how M handles changes in the data pipeline inside Microsoft Power BI.

Unlock the logic behind your queries — with structured evaluation in Microsoft Power BI.

Lecture: Create Custom Functions in Power BI

In this lecture, you’ll learn how to create custom functions to streamline repetitive tasks and transformations in Microsoft Power BI. Custom functions help you apply the same logic across multiple queries, saving time and improving consistency.

We’ll demonstrate how to define, invoke, and reuse functions effectively within the Power Query environment of Microsoft Power BI.

Automate smarter and faster — with custom functions in Microsoft Power BI.

Lecture: Conditional Logic & Error Handling in M Language

In this lecture, you'll learn how to implement conditional logic and error handling in the M language within Microsoft Power BI. From using if...then...else statements to managing errors with functions like try...otherwise, you’ll gain control over data quality and transformation flow.

We’ll explore practical use cases to enhance data reliability inside Microsoft Power BI.

Write smarter queries and handle issues gracefully — only in Microsoft Power BI.

Lecture: Understanding Data Models in Power BI

In this lecture, you'll gain a solid foundation in understanding data models and how they drive effective reporting in Microsoft Power BI. Learn the role of tables, relationships, and schema design in building scalable, high-performing data models.

We’ll explore best practices for structuring your datasets to maximize performance and clarity within Microsoft Power BI.

Build smarter insights from structured foundations — only in Microsoft Power BI.

Lecture: Connecting Multiple Tables and Building the Model View

In this lecture, you'll learn how to connect multiple tables and build a logical model view in Microsoft Power BI. Discover how relationships, keys, and schema design work together to enable dynamic, cross-table analysis.

We’ll guide you through best practices to structure your data model efficiently within Microsoft Power BI, ensuring accuracy and performance.

Create connected data experiences — with model views in Microsoft Power BI.

Lecture: Creating and Managing Relationships in Power BI

In this lecture, you'll learn how to create and manage relationships between tables in Microsoft Power BI to build a reliable and efficient data model. Understand primary keys, foreign keys, and cardinality to ensure seamless data connectivity.

We’ll explore relationship types, cross-filter directions, and how to troubleshoot model issues within Microsoft Power BI.

Strengthen your data model connections — all inside Microsoft Power BI.

Lecture: One-to-One Relationship – When and Why to Use Them

In this lecture, you'll explore the One-to-One relationship in Microsoft Power BI—what it is, when it’s needed, and why it matters. Understand how this relationship type ensures accurate joins when both tables share unique values.

We’ll walk through scenarios where One-to-One improves data integrity and model performance inside Microsoft Power BI.

Build precise, lean models — using One-to-One relationships in Microsoft Power BI.

Lecture: One-to-Many Relationships – The Backbone of the Star Schema

In this lecture, you’ll learn how One-to-Many relationships form the foundation of a star schema in Microsoft Power BI. Discover how fact tables connect to multiple dimension tables, enabling scalable and efficient data modeling.

We’ll explore real-world use cases and best practices for designing robust One-to-Many relationships in Microsoft Power BI.

Power your reports with structure and speed — through star schema in Microsoft Power BI.

Lecture: Many-to-Many Relationships – Pitfalls and Use Cases

In this lecture, you'll uncover the complexities of Many-to-Many relationships in Microsoft Power BI. Learn when to use them, common pitfalls to avoid, and how they impact your data model and calculations.

We’ll walk through practical examples and demonstrate how to handle Many-to-Many scenarios effectively within Microsoft Power BI.

Model with confidence — understand the risks and rewards in Microsoft Power BI.

Lecture: Cross Filter Direction – Single vs Both Explained

In this lecture, you'll learn how cross filter direction works in Microsoft Power BI, and when to use Single or Both directions. Understanding filter flow is crucial for building accurate, responsive data models.

We’ll explore visual examples that show the impact of filter direction on relationships and calculations in Microsoft Power BI.

Control your data interactions — with precise filtering in Microsoft Power BI.

Lecture: Active & Inactive Relationships in Power BI

In this lecture, you'll learn the difference between active and inactive relationships in Microsoft Power BI. Understand why only one relationship between two tables can be active at a time, and how inactive relationships affect your report behavior.

We’ll walk through visual examples to show how to manage and organize relationship paths within Microsoft Power BI.

Master your data model’s flow — using relationship states in Microsoft Power BI.

Lecture: Introduction to Power BI Visualization

In this lecture, you'll get a beginner-friendly introduction to visualizations in Microsoft Power BI. Learn how charts, graphs, and visuals turn raw data into meaningful insights that are easy to understand and present.

We’ll explore the visualization pane, basic chart types, and how to build compelling dashboards in Microsoft Power BI.

Start transforming your data stories — with powerful visuals in Microsoft Power BI.

Lecture: Adding and Arranging Fields in a Visual

In this lecture, you'll learn how to add and arrange fields in a visual using Microsoft Power BI. Discover how to place data fields into the right areas—like Axis, Values, and Legend—to shape the visual output effectively.

We’ll guide you through best practices to enhance readability and clarity in your reports built with Microsoft Power BI.

Build clear, compelling visuals — by placing fields smartly in Microsoft Power BI.

Lecture: Exploring the Format Pane – Styling Your Visual

In this lecture, you’ll learn how to use the Format Pane in Microsoft Power BI to style and customize your visuals. From adjusting colors and fonts to setting borders and backgrounds, formatting adds clarity and visual appeal to your reports.

We’ll explore formatting options that help make your dashboards in Microsoft Power BI more professional and presentation-ready.

Design with impact — style your data beautifully in Microsoft Power BI.

Lecture: Using a Data Pane Like a Pro

In this lecture, you'll learn how to navigate and use the Data Pane like a pro in Microsoft Power BI. Understand how to access tables, explore fields, and quickly find the data you need for visualizations and analysis.

We’ll share tips to manage and organize your data efficiently within the Microsoft Power BI workspace.

Gain full control of your dataset — with expert navigation in Microsoft Power BI.

Lecture: Tables and How to Use Them Effectively

In this lecture, you’ll learn how to use tables effectively in Microsoft Power BI to present detailed, structured data. Discover how to customize tables with sorting, formatting, and field arrangement to enhance clarity and usability.

We’ll demonstrate how tables serve as powerful tools for analysis and reporting within Microsoft Power BI.

Display your data with precision — using smart tables in Microsoft Power BI.

Lecture: The Matrix Visual – Expandable Dynamic Tables

In this lecture, you’ll explore the Matrix visual in Microsoft Power BI, a powerful tool for creating expandable, dynamic tables. Learn how to organize hierarchical data, drill down into details, and present clean, structured summaries with ease.

We’ll show how to customize and format matrix visuals for better insights and interactive reporting in Microsoft Power BI.

Turn complexity into clarity — with matrix visuals in Microsoft Power BI.

Lecture: Conditional Formatting for Visual Impact

In this lecture, you’ll learn how to apply conditional formatting in Microsoft Power BI to highlight trends, outliers, and key insights. From color scales to data bars, conditional formatting adds instant visual impact and improves report readability.

We’ll explore how to set up dynamic formatting rules that enhance storytelling within Microsoft Power BI dashboards.

Make your visuals speak louder — with smart formatting in Microsoft Power BI.

Lecture: Using Pie and Donut Charts the Right Way

In this lecture, you'll learn how to use Pie and Donut charts effectively in Microsoft Power BI. Understand when these visuals are best suited for your data, how to avoid common pitfalls, and how to enhance clarity with proper formatting.

We’ll walk through best practices to make these circular visuals both informative and visually appealing in Microsoft Power BI.

Deliver clear comparisons with confidence — using the right charts in Microsoft Power BI.

Lecture: Bar and Column Charts – The Workhorses of Dashboards

In this lecture, you’ll discover why bar and column charts are the most versatile tools in Microsoft Power BI dashboards. Learn how to compare categories, track performance, and highlight key metrics with clear, impactful visuals.

We’ll explore customization options and practical tips to maximize the effectiveness of these charts in Microsoft Power BI.

Build strong visual foundations — with bar and column charts in Microsoft Power BI.

Lecture: The Filter Visual – How and When to Use It

In this lecture, you'll learn how to use the Filter visual in Microsoft Power BI to control what data is displayed in your reports. Understand when to apply visual-level, page-level, or report-level filters to keep your insights focused and relevant.

We’ll walk through real examples to help you filter smarter inside Microsoft Power BI.

Drive clarity and precision — by filtering effectively in Microsoft Power BI.

Lecture: The Filter Pane – Developer Level Control

In this lecture, you’ll explore how to use the Filter Pane in Microsoft Power BI for advanced, developer-level control over report filtering. Learn how to manage filter visibility, apply filters across pages, and enhance user experience without cluttering visuals.

We’ll walk through practical use cases to leverage the Filter Pane effectively in Microsoft Power BI.

Control your report’s behavior behind the scenes — using the Filter Pane in Microsoft Power BI.

Lecture: Cross Filtering and Visual Interactions

In this lecture, you’ll learn how cross filtering and visual interactions work in Microsoft Power BI to create dynamic, connected dashboards. Discover how selecting one visual can influence others, helping users explore data from multiple perspectives.

We’ll demonstrate how to control and customize these interactions to build intuitive reports in Microsoft Power BI.

Make your visuals talk to each other — with seamless interactions in Microsoft Power BI.

Lecture: Syncing Slicers Across Multiple Pages

In this lecture, you’ll learn how to sync slicers across multiple pages in Microsoft Power BI to create a seamless and consistent filtering experience. Discover how to maintain user selections throughout your report for smoother navigation and better insights.

We’ll walk through the Sync Slicer pane and show how to apply settings effectively in Microsoft Power BI.

Create connected experiences — with synchronized slicers in Microsoft Power BI.

Lecture: Creating a Drill Down Experience Without DAX

In this lecture, you’ll learn how to create an interactive drill down experience in Microsoft Power BI—without writing a single line of DAX. Discover how to use built-in hierarchy features and visual interactions to explore data from summary to detail.

We’ll demonstrate how to set up smooth drill paths using only native tools in Microsoft Power BI.

Let users dive deeper into insights — effortlessly in Microsoft Power BI.

Lecture: Creating Drill Through Reports for Focused Analysis

In this lecture, you'll learn how to create Drill Through reports in Microsoft Power BI to deliver focused, detail-level analysis. Empower users to right-click a data point and jump to a targeted report page with relevant insights.

We’ll guide you through setting up Drill Through fields and designing smooth navigation paths in Microsoft Power BI.

Give users the power to explore what matters — with Drill Through in Microsoft Power BI.

Lecture: Understanding and Using Tree Map

In this lecture, you’ll learn how to understand and use the Tree Map visual in Microsoft Power BI to display hierarchical data through size and color. Tree Maps are perfect for showing part-to-whole relationships and spotting patterns at a glance.

We’ll explore how to build, format, and apply Tree Maps effectively in Microsoft Power BI dashboards.

Visualize proportions with impact — using Tree Maps in Microsoft Power BI.

Lecture: The Decomposition Tree Visual – No DAX Needed

In this lecture, you’ll explore the Decomposition Tree visual in Microsoft Power BI—a powerful tool for breaking down data across multiple dimensions without using DAX. Learn how to analyze root causes, compare categories, and interactively drill through data.

We’ll guide you through building and customizing a decomposition tree using built-in features in Microsoft Power BI.

Uncover insights layer by layer — with ease in Microsoft Power BI.

Lecture: Mastering the Matrix Visual – Hierarchies, Insights, and Interactive Exploration

In this lecture, you’ll master the Matrix visual in Microsoft Power BI, learning how to organize data with hierarchies, uncover insights, and enable interactive exploration. Discover how to expand and collapse rows, apply formatting, and make your reports more intuitive.

We’ll walk through real examples to build smart, structured reports using the Matrix visual in Microsoft Power BI.

Analyze with depth and clarity — using Matrix visualizations in Microsoft Power BI.

Lecture: Forecasting with Line Charts

In this lecture, you’ll learn how to use line charts in Microsoft Power BI to perform time-based forecasting with ease. Discover how to visualize trends, project future values, and interpret data patterns using built-in forecasting tools.

We’ll demonstrate step-by-step how to enable forecasting features and customize your visuals in Microsoft Power BI for maximum clarity.

Predict with confidence — using smart line charts in Microsoft Power BI.

Lecture: Asking Questions with the Q&A Visual

In this lecture, you'll discover how to use the Q&A visual in Microsoft Power BI to ask natural language questions and get instant visual answers. Learn how this AI-powered feature helps users explore data without writing queries or code.

We’ll demonstrate how to optimize your data model for Q&A and enhance user interaction in Microsoft Power BI.

Turn plain questions into powerful insights — instantly in Microsoft Power BI.

Lecture: Working with Custom Visuals from the Marketplace

In this lecture, you'll learn how to enhance your reports by working with custom visuals from the Marketplace in Microsoft Power BI. Explore a wide range of third-party visuals to extend functionality and improve data storytelling.

We’ll guide you through discovering, importing, and using these visuals effectively within Microsoft Power BI dashboards.

Unlock new possibilities and creativity — with custom visuals in Microsoft Power BI.

Lecture: Customizing Report Pages – Layouts and Themes

In this lecture, you’ll learn how to customize report pages in Microsoft Power BI by designing layouts and applying themes that match your brand or purpose. Discover how to align visuals, manage page size, and apply color schemes for a polished, professional look.

We’ll explore layout tips and theme options to elevate your reporting experience in Microsoft Power BI.

Design with intent — create beautiful, consistent reports in Microsoft Power BI.

Lecture: Using Buttons and Actions for Navigation

In this lecture, you’ll learn how to use buttons and actions in Microsoft Power BI to create interactive, user-friendly navigation within your reports. From linking pages to triggering bookmarks, these features enhance the user experience and streamline report flow.

We’ll guide you through setting up buttons with actions that make navigating your Microsoft Power BI dashboards seamless.

Turn your reports into guided journeys — with navigation tools in Microsoft Power BI.

Lecture: Adding Analytics with Built-in Visual Tools

In this lecture, you’ll learn how to enhance your reports by adding analytics with built-in visual tools in Microsoft Power BI. Discover how to use trend lines, reference lines, and forecast options to bring deeper insights directly into your visuals.

We’ll guide you through practical use cases to apply analytical features seamlessly in Microsoft Power BI dashboards.

Go beyond the basics — uncover patterns with built-in analytics in Microsoft Power BI.

Lecture: Demystifying DAX – A Gentle Introduction

In this lecture, you'll get a beginner-friendly introduction to DAX (Data Analysis Expressions) in Microsoft Power BI. Learn what DAX is, why it’s essential for data modeling, and how to write simple expressions to enhance your reports.

We’ll walk through basic DAX concepts and demonstrate how it fits into your workflow in Microsoft Power BI.

Start your DAX journey with confidence — inside the world of Microsoft Power BI.

Lecture: Meet the Dataset – Your DAX Playground

In this lecture, you'll get familiar with the dataset you'll use throughout your Microsoft Power BI DAX journey. Understand the structure, tables, and relationships that form the foundation for writing and testing DAX expressions.

We’ll explore how this dataset supports hands-on learning and helps you build real-world skills in Microsoft Power BI.

Learn by doing — explore your DAX playground inside Microsoft Power BI.

Lecture: Meet the Dataset – Your DAX Playground

In this lecture, you’ll get to know the dataset that will serve as your DAX playground in Microsoft Power BI. Explore the tables, fields, and relationships that lay the foundation for creating effective calculations and measures.

This hands-on dataset is designed to help you practice and apply key concepts as you learn DAX in Microsoft Power BI.

Build your DAX skills step by step — using real data in Microsoft Power BI.

Lecture: Understanding Measures with DAX

In this lecture, you’ll learn what measures are and how to create them using DAX in Microsoft Power BI. Measures allow you to perform powerful calculations like totals, averages, and percentages that update dynamically with your visuals.

We’ll walk through real examples to show how measures enhance your reporting capabilities in Microsoft Power BI.

Unlock dynamic insights — by mastering DAX measures in Microsoft Power BI.

Lecture: Calculated Columns vs Measures – Who Does What

In this lecture, you’ll understand the key differences between calculated columns and measures in Microsoft Power BI. Learn when to use each, how they behave in the data model, and the impact they have on performance and reporting.

We’ll compare both through practical scenarios to help you make the right choice in Microsoft Power BI.

Build smarter models — by knowing who does what in Microsoft Power BI.

Lecture: Context Matters – Row and Filter Context Explained

In this lecture, you'll explore the critical concept of row and filter context in Microsoft Power BI, which determines how DAX expressions calculate results. Understanding context is key to writing accurate and efficient DAX formulas.

We’ll break down both contexts with simple examples to clarify their role in Microsoft Power BI data models.

Think like DAX — master context to unlock true power in Microsoft Power BI.

Lecture: Building Your Date Table From Scratch

In this lecture, you’ll learn how to build a complete date table from scratch in Microsoft Power BI—a foundational step for time intelligence calculations. Understand why a proper date table is essential and how it improves filtering, sorting, and DAX performance.

We’ll walk through creating a custom date table tailored for dynamic reporting in Microsoft Power BI.

Take control of time-based analysis — with a robust date table in Microsoft Power BI.

Lecture: Adding Brains to Your Data Table

In this lecture, you’ll learn how to enhance your data table with intelligence using calculated columns and logic-driven fields in Microsoft Power BI. Discover how to enrich raw data with meaningful insights that support deeper analysis and smarter visuals.

We’ll demonstrate how to add calculated logic directly into your data model using features in Microsoft Power BI.

Make your data smarter — by building intelligence into tables in Microsoft Power BI.

Lecture: Creating a Home for Measures

In this lecture, you’ll learn how to organize and centralize your DAX measures by creating a dedicated measures table in Microsoft Power BI. Keeping your measures in one place improves model clarity, navigation, and report efficiency.

We’ll show you step-by-step how to set up a clean, structured environment for your calculations in Microsoft Power BI.

Build smarter, cleaner models — by housing your measures in Microsoft Power BI.

Lecture: Additive and Multiplicative Aggregator Functions – SUM, SUMX, PRODUCT, PRODUCTX

In this lecture, you’ll explore additive and multiplicative aggregator functions like SUM, SUMX, PRODUCT, and PRODUCTX in Microsoft Power BI. Learn how to apply these functions to perform basic and row-level calculations across your data model.

We’ll demonstrate practical use cases and show how each function behaves within Microsoft Power BI reports.

Master core calculations — with essential aggregator functions in Microsoft Power BI.

Lecture: Averaging Aggregator Functions – AVERAGE, AVERAGEA, AVERAGEX

In this lecture, you’ll learn how to use averaging aggregator functions like AVERAGE, AVERAGEA, and AVERAGEX in Microsoft Power BI to calculate meaningful insights from your data. Understand the differences between each function and when to use them for precise analysis.

We’ll apply each function to real-world datasets to demonstrate their behavior in Microsoft Power BI reports.

Analyze trends with accuracy — using averaging logic in Microsoft Power BI.

Lecture: Extremes Aggregator Functions – MIN, MINA, MINX, MAX, MAXA, MAXX

In this lecture, you’ll explore extreme aggregator functions like MIN, MINA, MINX, MAX, MAXA, and MAXX in Microsoft Power BI. Learn how to identify the lowest and highest values across different data types and row contexts.

We’ll demonstrate how these functions can enhance your analysis in dashboards and visuals within Microsoft Power BI.

Spot outliers and top performers — using extremes in Microsoft Power BI.

Lecture: Counting Aggregators in Power BI

In this lecture, you’ll learn how to use counting aggregator functions such as COUNT, COUNTA, COUNTBLANK, and COUNTX in Microsoft Power BI. Understand the differences between them and when to apply each based on your data type and analysis needs.

We’ll explore real-world use cases to help you apply counting logic effectively within Microsoft Power BI reports.

Measure what matters — with powerful counting functions in Microsoft Power BI.

Lecture: Logic Functions in Action – IF, IF.EAGER, IFERROR

In this lecture, you’ll explore how to use logic functions like IF, IF.EAGER, and IFERROR in Microsoft Power BI to add decision-making capabilities to your data models. Learn how these functions control outcomes based on conditions and manage potential errors in calculations.

We’ll apply each function in practical scenarios to improve flexibility and accuracy in Microsoft Power BI reports.

Add intelligence to your formulas — with logic-driven expressions in Microsoft Power BI.

Lecture: Logic Functions – AND, OR, NOT, TRUE, FALSE

In this lecture, you’ll learn how to apply logic functions like AND, OR, NOT, TRUE, and FALSE in Microsoft Power BI to build complex, condition-based expressions. These functions help drive decisions, filter data, and control outputs in calculated fields.

We’ll demonstrate how to combine logical conditions for smarter, more responsive models in Microsoft Power BI.

Strengthen your DAX logic — with core functions in Microsoft Power BI.

Lecture: Logic Functions – SWITCH

In this lecture, you’ll explore the SWITCH function in Microsoft Power BI, a powerful alternative to nested IF statements. Learn how to simplify complex logic by mapping multiple conditions to specific outcomes with clean, readable syntax.

We’ll walk through real examples showing how SWITCH enhances clarity and performance in your Microsoft Power BI reports.

Replace complexity with clarity — using SWITCH logic in Microsoft Power BI.

Lecture: Logic Functions – Bitwise Operators in DAX

In this lecture, you’ll learn how to use bitwise operators in DAX within Microsoft Power BI for performing logical comparisons at the binary level. Functions like BITAND, BITOR, and BITXOR offer advanced control over flags, permissions, and binary logic.

We’ll demonstrate where and how to apply bitwise logic in real-world scenarios using Microsoft Power BI models.

Unlock advanced logic techniques — with bitwise operations in Microsoft Power BI.

Lecture: Dynamic Insight with VALUES and SELECTEDVALUE

In this lecture, you'll discover how to use the VALUES and SELECTEDVALUE functions in Microsoft Power BI to create dynamic, context-aware insights. These functions help you capture user selections and respond intelligently in visuals and calculations.

We’ll explore practical scenarios where these tools enhance interactivity and clarity in Microsoft Power BI reports.

Drive smarter visuals and calculations — with dynamic context in Microsoft Power BI.

Lecture: The CALCULATE Function – Master of Context

In this lecture, you’ll learn how the powerful CALCULATE function in Microsoft Power BI reshapes filter context to deliver precise, dynamic results. CALCULATE is the gateway to advanced DAX, enabling context modification and flexible logic application.

We’ll walk through key examples to show how CALCULATE enhances reporting and analysis in Microsoft Power BI.

Control your data story — by mastering context with CALCULATE in Microsoft Power BI.

Lecture: FILTER Function – Dynamic Row-Level Logic

In this lecture, you'll explore how to use the FILTER function in Microsoft Power BI to apply dynamic row-level logic for precise control over calculations. Learn how to define custom filter conditions that refine your data model’s behavior.

We’ll demonstrate how FILTER works within expressions to deliver targeted insights in Microsoft Power BI reports.

Apply logic with precision — using the FILTER function in Microsoft Power BI.

Lecture: ALL Function – Control Your Filters

In this lecture, you’ll learn how the ALL function in Microsoft Power BI gives you full control over filter removal in your DAX calculations. Understand how to clear filters selectively to calculate totals, percentages, and comparisons accurately.

We’ll explore real examples where ALL improves clarity and flexibility in Microsoft Power BI reports.

Take command of your calculations — with powerful filter control in Microsoft Power BI.

Lecture: ALLEXCEPT Function

In this lecture, you’ll learn how to use the ALLEXCEPT function in Microsoft Power BI to remove filters while preserving selected columns. This function is perfect for calculating totals and comparisons while keeping meaningful groupings intact.

We’ll demonstrate how ALLEXCEPT enhances report accuracy and flexibility in real-world Microsoft Power BI scenarios.

Control context with precision — using ALLEXCEPT in Microsoft Power BI.

Lecture: ALLSELECTED Function

In this lecture, you’ll learn how to use the ALLSELECTED function in Microsoft Power BI to maintain user-driven filters while performing calculations across multiple visuals. This function is essential for creating dynamic comparisons that respect interactive selections.

We’ll explore how ALLSELECTED refines context without breaking the visual flow in Microsoft Power BI reports.

Respect user input while analyzing broadly — with ALLSELECTED in Microsoft Power BI.

Lecture: REMOVEFILTERS Function

In this lecture, you’ll learn how to use the REMOVEFILTERS function in Microsoft Power BI to clear filters from specific columns or entire tables. This function helps you control filter context cleanly without altering relationships or model structure.

We’ll walk through practical examples where REMOVEFILTERS improves calculation accuracy in Microsoft Power BI reports.

Clean your context with clarity — using REMOVEFILTERS in Microsoft Power BI.

Lecture: Rank It Like a Pro with RANKX

In this lecture, you’ll learn how to use the powerful RANKX function in Microsoft Power BI to assign rankings based on measures or columns. Whether you're ranking sales, performance, or customer segments, RANKX delivers precise, dynamic results.

We’ll explore step-by-step examples to apply ranking logic effectively in Microsoft Power BI dashboards.

Highlight top performers with confidence — using RANKX in Microsoft Power BI.

Lecture: Top Performers with TOPN Function

In this lecture, you’ll discover how to use the TOPN function in Microsoft Power BI to identify and display top-performing records based on custom measures or columns. Whether it’s top customers, products, or regions, TOPN helps you spotlight what matters most.

We’ll demonstrate how to apply TOPN effectively in visuals and dynamic reports in Microsoft Power BI.

Focus on excellence — by ranking top insights with TOPN in Microsoft Power BI.

Lecture: Detecting Filters with ISFILTERED

In this lecture, you’ll learn how to use the ISFILTERED function in Microsoft Power BI to detect whether a column is currently being filtered. This powerful function helps you build responsive logic and create smarter, context-aware measures.

We’ll explore real use cases where ISFILTERED improves interactivity and control in Microsoft Power BI dashboards.

Make your DAX context-aware — with filter detection in Microsoft Power BI.

Lecture: Creating Custom Tables Using GROUPBY and SUMMARIZE Functions

In this lecture, you’ll learn how to create custom summary tables using GROUPBY and SUMMARIZE functions in Microsoft Power BI. These functions help you organize and aggregate data into new tables tailored for specific analysis or reporting needs.

We’ll explore practical use cases to build efficient, query-friendly models using these functions in Microsoft Power BI.

Design purpose-built tables — with flexible grouping in Microsoft Power BI.

Lecture: Working with Inactive Relationships Using USERELATIONSHIP

In this lecture, you’ll learn how to activate and work with inactive relationships using the USERELATIONSHIP function in Microsoft Power BI. This powerful DAX function lets you control which relationship to use in your calculations without altering the data model.

We’ll explore scenarios where USERELATIONSHIP improves accuracy and flexibility in Microsoft Power BI reports.

Activate the right connections — with relationship control in Microsoft Power BI.