What you'll learn
Build professional-quality business intelligence reports from the ground up
Blend and transform raw data into beautiful interactive dashboards
Design and implement the same B.I. tools used by professional analysts and data scientists
Showcase your skills with two full-scale course projects (with step-by-step solutions)
Understand the business intelligence workflow from end-to-end
Learn from a best-selling instructor and professional BI developer

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
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

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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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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

Citación :

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