DOWNLOAD COURSE BROCHURE

DOWNLOAD REGISTRATION FORM

Learning Objectives

• 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

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

1. Up & Running with Power BI Desktop
2. 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!

Course Outline

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.

Target Audience

• 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