If you're looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you've come to the right place. Power BI is quickly becoming the world's most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike. With Power BI you can connect to hundreds of data sources, build complex relational models using simple and intuitive tools, and design stunning, interactive dashboards from scratch -- all for free. THE COURSE PROJECT: In this course, you'll be playing the role of Lead Business Intelligence Analyst for Adventure Works Cycles, a global manufacturing company. Your mission? To design and deliver a professional-quality, end-to-end business intelligence solution, armed only with Power BI and a handful of raw csv files. But don't worry, I'll be guiding you through the ins-and-outs of Power BI Desktop, sharing crystal clear explanations and helpful pro tips each step of the way. We'll follow a steady, systematic progression through the Power BI workflow, and break down our project into FOUR KEY OBJECTIVES: POWER BI OBJECTIVE #1: Connect & Transform the Raw Data Intro to the Power BI Query Editor Types of Power BI Data Connectors Basic Table Transformations Text, Number & Date Tools Index & Conditional Columns Grouping & Aggregating Data Pivoting & Unpivoting Modifying, Merging & Appending Queries Connecting to Folders Defining Hierarchies & Categories Query Editing & Power BI Best Practices POWER BI OBJECTIVE #2: Build a Relational Data Model Intro to Database Normalization Data ("Fact") Tables vs. Lookup ("Dimension") Tables Creating Power BI Table Relationships "Star" vs. "Snowflake" Schemas Active vs. Inactive Relationships Relationship Cardinality Connecting Multiple Data Tables Filtering & Cross-Filtering Hiding Fields from the Power BI Report View Data Modeling & Power BI best Practices POWER BI OBJECTIVE #3: Add Calculated Fields with DAX Intro to Data Analysis Expressions (DAX) Calculated Columns vs. Measures Row Context vs. Filter Context in Power BI DAX Syntax & Operators Common Power BI Functions Basic Date & Time Formulas Logical & Conditional Statements Text, Math & Stats Functions Joining Data with RELATED CALCULATE, ALL & FILTER Functions DAX Iterators (SUMX, AVERAGEX) Time Intelligence Formulas DAX & Power BI Best Practices POWER BI OBJECTIVE #4: Design Interactive Power BI Reports Intro to the Power BI Report View Adding Basic Charts to Power BI Reports Formatting & Filtering Options Matrix Visuals Slicers & Timelines Cards & KPIs Power BI Map Visuals (Basic, Fill, ArcGIS) Treemaps, Lines, Areas & Gauges Editing Report interactions Adding Drillthrough Filters Linking to Report Bookmarks Using "What-If" Parameters Managing & Viewing Roles PREVIEW: Publishing to Power BI Service Power BI Data Viz Best Practices By the end of the Adventure Works project, not only will you have developed an entire business intelligence tool from the ground up using Power BI, but you will have gained the knowledge and confidence to apply these same concepts to your own Power BI projects. For those looking for more opportunities to test their Power BI skills, I've also included an additional set of project files for a bonus Final Project. This is your chance to showcase all of the skills you've developed throughout the course, and apply them to a brand new data set from Maven Market, a global supermarket chain.