Udemy

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.

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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:

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POWER BI OBJECTIVE #1: Connect &amp; Transform the Raw Data

<ul><li>
	Intro to the Power BI Query Editor
	</li>
	<li>
	Types of Power BI Data Connectors
	</li>
	<li>
	Basic Table Transformations
	</li>
	<li>
	Text, Number &amp; Date Tools
	</li>
	<li>
	Index &amp; Conditional Columns
	</li>
	<li>
	Grouping &amp; Aggregating Data
	</li>
	<li>
	Pivoting &amp; Unpivoting
	</li>
	<li>
	Modifying, Merging &amp; Appending Queries
	</li>
	<li>
	Connecting to Folders
	</li>
	<li>
	Defining Hierarchies &amp; Categories
	</li>
	<li>
	Query Editing &amp; Power BI Best Practices
	</li>
</ul>__________

POWER BI OBJECTIVE #2: Build a Relational Data Model

<ul><li>
	Intro to Database Normalization
	</li>
	<li>
	Data ("Fact") Tables vs. Lookup ("Dimension") Tables
	</li>
	<li>
	Creating Power BI Table Relationships
	</li>
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	"Star" vs. "Snowflake" Schemas
	</li>
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	Active vs. Inactive Relationships
	</li>
	<li>
	Relationship Cardinality
	</li>
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	Connecting Multiple Data Tables
	</li>
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	Filtering &amp; Cross-Filtering
	</li>
	<li>
	Hiding Fields from the Power BI Report View
	</li>
	<li>
	Data Modeling &amp; Power BI best Practices
	</li>
</ul>__________

POWER BI OBJECTIVE #3: Add Calculated Fields with DAX

<ul><li>
	Intro to Data Analysis Expressions (DAX)
	</li>
	<li>
	Calculated Columns vs. Measures
	</li>
	<li>
	Row Context vs. Filter Context in Power BI
	</li>
	<li>
	DAX Syntax &amp; Operators
	</li>
	<li>
	Common Power BI Functions
	</li>
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	Basic Date &amp; Time Formulas
	</li>
	<li>
	Logical &amp; Conditional Statements
	</li>
	<li>
	Text, Math &amp; Stats Functions
	</li>
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	Joining Data with RELATED
	</li>
	<li>
	CALCULATE, ALL &amp; FILTER Functions
	</li>
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	DAX Iterators (SUMX, AVERAGEX)
	</li>
	<li>
	Time Intelligence Formulas
	</li>
	<li>
	DAX &amp; Power BI Best Practices
	</li>
</ul>__________

POWER BI OBJECTIVE #4: Design Interactive Power BI Reports

<ul><li>
	Intro to the Power BI Report View
	</li>
	<li>
	Adding Basic Charts to Power BI Reports
	</li>
	<li>
	Formatting &amp; Filtering Options
	</li>
	<li>
	Matrix Visuals
	</li>
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	Slicers &amp; Timelines
	</li>
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	Cards &amp; KPIs
	</li>
	<li>
	Power BI Map Visuals (Basic, Fill, ArcGIS)
	</li>
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	Treemaps, Lines, Areas &amp; Gauges
	</li>
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	Editing Report interactions
	</li>
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	Adding Drillthrough Filters
	</li>
	<li>
	Linking to Report Bookmarks
	</li>
	<li>
	Using "What-If" Parameters
	</li>
	<li>
	Managing &amp; Viewing Roles
	</li>
	<li>
	PREVIEW: Publishing to Power BI Service
	</li>
	<li>
	Power BI Data Viz Best Practices
	</li>
</ul>

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