Intro to Power Query, Power Pivot & DAX

ABOUT THIS COURSE

This course introduces Microsoft Excel’s powerful data modeling and business intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX).

Using project files and hands-on demos, we’ll load and transform raw files with Power Query, create table relationships with Excel’s Data Model, and use Power Pivot and DAX to explore and analyze our data with powerful calculated fields.

If you’re looking to become a power Excel user and absolutely supercharge your analytics, this course is the A-Z guide that you’re looking for.

WHAT WILL YOU LEARN?

We’ll kick things off by introducing the “Power Excel” landscape, and explore what these tools are all about and why they are changing the world of self-service business intelligence.

Using sample data from a fictional supermarket chain, we’ll get hands-on with Power Query; a tool to extract, transform, and load data from flat files, folders, databases, API services and more. We’ll practice shaping, blending and exploring our project files, and create completely automated loading procedures with only a few clicks.

From there we’ll dive into Data Modeling 101, and cover the fundamentals of database design and normalization (including table relationships, cardinality, hierarchies and more). We’ll take a tour through Excel’s data model interface, introduce some best practices and pro tips, and then create our own relational database to analyze throughout the course.

Next, we’ll use Power Pivot and DAX to explore and analyze our data model. Unlike traditional pivots, Power Pivot allows you to analyze hundreds of millions of rows across multiple data tables, and create supercharged calculated fields using a formula language called Data Analysis Expressions (or “DAX” for short). We’ll cover basic DAX syntax, then introduce some of the most powerful and commonly-used functions — CALCULATE, FILTER, SUMX and more.

If you’re ready to take your Excel game to new heights and join the leading edge of analytics & business intelligence, this course is for you. It’s time to stop fighting with tedious, manual tasks and struggling with “old-school” Excel; join me on this journey and emerge a certified NINJA.

WHO IS THIS COURSE FOR?

• Excel users who want to learn more advanced data modeling & business intelligence tools
• Anyone looking to become a power Excel user and supercharge their analytics skill set
• Students looking for a comprehensive, engaging, and highly interactive approach to training

COURSE CURRICULUM

Intro to Power Excel

• The Power Excel Workflow
• Best Thing to Happen to Excel in 20 Years
• When to use Power Query & Power Pivot
• QUIZ: Intro to Power Excel
• HOMEWORK: Intro to Power Excel
  

  ---

Connecting & Shaping Data with Power Query

• Introduction
• Meet Power Query
• The Query Editor
• Data Loading Options
• IMPORTANT: Regional Formatting
• Basic Table Transformations
• Text-Specific Tools
• Number-Specific Tools
• Date-Specific Tools
• PRO TIP: Creating a Rolling Calendar
• Adding Index & Conditional Columns
• Grouping & Aggregating Data
• Pivoting & Unpivoting
• Invoke Custom Functions
• Column from Examples
• Manage Data Parameters
• Modifying Workbook Queries
• Merging Queries
• Appending Queries
• Connecting to a Folder of Files
• Advanced Data Transformation Examples
• Power Query Best Practices
• QUIZ: Power Query
• HOMEWORK: Power Query

Data Modeling & Normalization

• Introduction
• Meet Excel’s Data Model
• Data vs. Diagram View
• Database Normalization
• Data Tables vs. Lookup Tables
• Relationships vs. Merged Tables
• Creating Table Relationships
• Modifying Table Relationships
• Active vs. Inactive Relationships
• Relationship Cardinality
• Connecting Multiple Data Tables
• Filter Direction
• Hiding Fields from Client Tools
• Defining Hierarchies
• Data Model Best Practices
• QUIZ: Data Modeling 101
• HOMEWORK: Data Modeling 101
  

  ---

Power Pivot & DAX

• Introduction
• Creating a Power PivotTable
• Power Pivots vs. Normal Pivots
• Intro to Data Analysis Expressions
• Calculated Columns
• DAX Measures = Supercharged Calculated Fields
• Creating Implicit Measures
• Creating Explicit Measures
• Creating Explicit Measures
• Understanding Filter Context
• Step-by-Step Measure Calculation
• RECAP: Calculated Columns vs. Measures
• Power Pivot Best Practices
• QUIZ: Power Pivot & DAX 101
• HOMEWORK: Power Pivot & DAX 101
  

  ---

DAX Formulas & Functions

• Introduction
• DAX Formula Syntax & Operators
• Common DAX Function Categories
• Basic Math & Stats Functions
• COUNT, COUNTA, DISTINCTCOUNT & COUNTROWS, SUM, AVERAGE, MIN, MAX
• HOMEWORK: Math & Stats Functions
• Logical Functions
• SWITCH & SWITCH(TRUE), IF, ISFILTERED,
• Text Functions
• HOMEWORK: Logical & Text Functions
• The CALCULATE Function
• Adding Filter Context with FILTER
• Removing Filter Context with ALL
• HOMEWORK: CALCULATE, FILTER & ALL
• ALLSELECTED, HASONEVALUE, ALLEXCEPT,VALUES
• Joining Data with RELATED
• SUMX,COUNTX, AVERAGEX, MAXX
• HOMEWORK: Iterator Functions
• Basic Date & Time Functions
• Time Intelligence Formulas SAMEPERIODLASTYEAR, DATEADD, YTD, MTD, QTD, PARRALLELPERIOD,
• HOMEWORK: Time Intelligence
• Speed & Performance Considerations
• DAX Best Practices
• QUIZ: Common DAX Functions