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NOTE: This is PART 1 of a 2-Part Microsoft Power BI series:

   Up & Running with Power BI Desktop
   Publishing to Power BI Service

Don’t forget to complete PART 2 to learn Power BI Service and take your BI skills to the cloud!

COURSE DESCRIPTION:

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 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 B.I. workflow, and break down our project into FOUR KEY OBJECTIVES:

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OBJECTIVE #1: Connect & Transform the Raw Data

   Intro to the Query Editor
   Types of 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 Best Practices

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OBJECTIVE #2: Build a Relational Data Model

   Intro to Database Normalization
   Data (“Fact”) Tables vs. Lookup (“Dimension”) Tables
   Creating Table Relationships
   “Star” vs. “Snowflake” Schemas
   Active vs. Inactive Relationships
   Relationship Cardinality
   Connecting Multiple Data Tables
   Filtering & Cross-Filtering
   Hiding Fields from Report View
   Data Modeling best Practices

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OBJECTIVE #3: Add Calculated Fields with DAX

   Intro to Data Analysis Expressions (DAX)
   Calculated Columns vs. Measures
   Row Context vs. Filter Context
   DAX Syntax & Operators
   Common Function Categories
   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 Best Practices

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OBJECTIVE #4: Design Interactive Reports

   Intro to the Power BI Report View
   Adding Objects & Basic Charts
   Formatting & Filtering Options
   Matrix Visuals
   Slicers & Timelines
   Cards & KPIs
   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
   Data Viz Best Practices

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By the end of the Adventure Works project, not only will you have developed an entire business intelligence tool from the ground up, but you will have gained the knowledge and confidence to apply these same concepts to your own real-world analyses.

For those looking for more opportunities to test their 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.

Whether you’re a casual user, aspiring analyst, or data science professional, this course will give you the tools you need to become an absolute Power BI ROCK STAR — guaranteed.

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Join today and get immediate, lifetime access to the following:

   100+ page Power BI ebook
   Downloadable project files
   Homework exercises & quizzes
   1-on-1 expert support
   Course Q&A forum
   30-day money-back guarantee

See you in there!

-Chris (Founder, Maven Analytics)

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P.S. Looking to master the full Excel + Power BI stack? Complete the path below and emerge an analytics ROCKSTAR:

   Excel Pro Tips for Power Users
   Advanced Excel Formulas & Functions
   Data Visualization with Excel Charts & Graphs
   Data Analysis with PivotTables
   Intro to Power Query, Power Pivot & DAX
   Up & Running with Power BI Desktop
   Publishing to Power BI Service

Who this course is for:

   Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop
   Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills
   Aspiring data professionals looking to master the #1 business intelligence tool on the market
   Students who want a comprehensive, engaging, and highly interactive approach to training

Requirements

   Microsoft Power BI Desktop (free download)
   This course is designed for PC/Windows users (currently not available for Mac)
   Experience with Excel Power Query, Power Pivot & DAX is a plus, but not required

Last updated 6/2019

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