Description

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

__________

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.

__________

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.

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.

__________

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)

__________

Looking for the full business intelligence stack? Search for “Maven Analytics“ to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses!
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

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 2/2021