[Udemy Course] Microsoft Power BI Desktop for Business Intelligence by Maven Analytics, Chris Dutton, Aaron Parry
$5.00
994 in stock
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
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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Product Details: https://bit.ly/2AUnenl
File size: 5.5GB
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