Microsoft Power BI - Up & Running With Power BI Desktop, Transform, analyze & visualize data with Microsoft Power BI Desktop: hands-on demos, projects & 1-on-1 Power BI support
Created by Maven Analytics, Chris Dutton, Aaron Parry
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Description
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 Power BI skills to the cloud!
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Hear why this is one of the TOP-RATED Power BI courses on Udemy:
"Instructor is top notch - moves at the right pace and keeps it interesting. Best Power BI course on Udemy!"
-Adam Edwards
"Resources are awesome. Presenter is brilliant. I found this course more useful than the offical Power BI course from Microsoft. Things are easy to follow, and presentations are of high quality."
-Jacobus M.
"Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His 'pro-tips' are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I'm feeling much more confident to dig in and use Power BI on my own projects!"
-Bill Jerrow
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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 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 & 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
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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
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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
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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
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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 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.
Whether you're a casual Power BI 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 Power BI 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 Microsoft Excel, Power BI + SQL stack? Search for "Maven Analytics" and complete the courses below to become a business intelligence ROCKSTAR:
Excel Pro Tips for Power Users
Advanced Excel Formulas & Functions
Data Visualization with Excel Charts & Graphs
Data Analysis with Excel PivotTables
Excel Power Query, Power Pivot & DAX
Up & Running with Power BI Desktop
Publishing to Power BI Service
SQL Database Analysis for Beginners
Advanced MySQL for Analytics & Business Intelligence
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
Anyone looking to pursue a career in data analysis or business intelligence
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