Hear why this is one of the TOP-RATED Excel courses on Udemy, and the #1 Excel Power Query + Excel Power Pivot course:

Description

Hear why this is one of the TOP-RATEDExcel courses on Udemy, and the #1 Excel Power Query + Excel Power Pivot course:

"I am a self-taught Excel Power Query user and it took me a while to understand what each tool does and how it interacts with others. Thanks to your introduction I finally nailed it in a very clear, unambiguous way. You helped me build a method that I can confidently apply to my data in Excel. Thank you so much!"

-Francesca C.

"I'm less of an expert at breathing than Chris is at Excel. This course is thorough and well-planned, and he presents in a manner that simplifies the complicated. Well worth your time if you want to master Excel power query and power pivot!"

-Tim B.

"I'm geeking out, this is so cool. Where has this been all my life???"

-Karen P.

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COURSEDESCRIPTION:

This course introduces Microsoft Excel's powerful data modeling andbusiness intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX). If you're looking to become a powerExcel userand absolutelysupercharge your Excel analytics game, this course isthe A-Z guide that you're looking for.

I'll introduce the "Power Excel"landscape, and explorewhat these Excel tools are all about and whythey are changing the world of self-service business intelligence. Together, we'll walk through the Excel BIworkflow, and build an entire Excel data model from scratch:

• First we'll get hands-on withPower Query;atool toextract, transform, and loaddata into Excel from flat files, folders, databases, API services and more. We'll practice shaping, blending and exploringourproject files in Excel's query editor, andcreatecompletely automatedloading procedures inside of Excel with only a few clicks.

• From there we'll dive into Data Modeling 101,andcover the fundamentals of database design and normalization (including table relationships, cardinality, hierarchies and more). We'll take a tour throughthe Excel data model interface, introducesome best practices and pro tips, and thencreate our ownrelational database to analyze throughout the course.

• Finally, we'll usePower Pivot and DAX toexplore and analyze our Excel data model. Unlike traditional Excel Pivot Tables, Power Pivot allows you to analyze hundreds of millions of rows across multiple data tables (inside of Excel!), and create superchargedcalculated fields using aformula language called Data Analysis Expressions (or "DAX" for short). We'll cover basic DAX syntax,then introduce some of the most powerful andcommonly-used functions -- CALCULATE, FILTER, SUMX and more.

If you're ready totake your Excelgame 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 andstruggling with "old-school" Excel;join me on this journeyand emerge a certified excel analytics NINJA.

See you in there!

-Chris (Founder, Excel Maven &Maven Analytics)

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IMPORTANT: Power Query and Power Pivot are currently NOT available in Excel for Mac. You'll need a PC version of Excel that is compatible with Power Pivot (Excel 2010 with plug-in,Excel 2013, Excel 2016, or Excel 2019 Standalone, Office 365 Pro Plus, Enterprise E3/E5, Office Professional 2016, etc.)

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P.S. Looking to master the full Microsoft Excel, Power BI +SQLstack? Search for "Maven Analytics"and complete the courses below to become a business intelligence ROCKSTAR:

*** This courseincludes Excel project files, quizzes &homework exercises, 1-on-1 instructor support, LIFETIMEaccess and a 100%money-back guarantee! ***

• Excel users who want to learn advanced data modeling & business intelligence tools
• Students looking for a comprehensive, engaging, and highly interactive approach to Excel training
• Anyone looking to become an Excel POWER USER and supercharge their analytics skillset
• Students looking to pursue a career in data analysis or business intelligence

Course content

• Getting Started
  • Course Structure & Outline
  • IMPORTANT: Versions & Compatibility
  • READ ME: Important Notes for New Students
  • Introducing the Course Project
  • DOWNLOAD: Course Resources
  • Setting Expectations
• Intro to “Power Excel"
  • Understanding the “Power Excel” Workflow
  • Power Query + Power Pivot: "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 & Transforming Data with Power Query in Excel
  • Introduction
  • Getting to Know Power Query in Excel
  • Exploring Excel's Power Query Editor
  • Power Query Data Loading Options
  • IMPORTANT: Updating Locale Settings
  • Applying Basic Table Transformations with Power Query
  • Power Query Demo: Text Tools
  • Power Query Demo: Number & Value Tools
  • Power Query Demo: Date & Time Tools
  • PRO TIP: Creating a Rolling Calendar with Power Query
  • Power Query Demo: Generating Index & Conditional Columns
  • Power Query Demo: Grouping & Aggregating Records
  • Power Query Demo: Pivoting & Unpivoting Data
  • Modifying Excel Workbook Queries
  • Merging Queries with Power Query
  • Appending Queries with Power Query
  • Power Query Demo: Connecting to a Folder of Files
  • Excel Power Query Best Practices
  • QUIZ: Connecting & Transforming Data with Power Query in Excel
  • HOMEWORK: Connecting & Transforming Data with Power Query in Excel
• Building Table Relationships with Excel's Data Model
  • Introduction
  • Meet Excel's "Data Model"
  • The Data Model Data vs. Diagram View
  • Principles of Database Normalization
  • Understanding Data Tables vs. Lookup Tables
  • Benefits of Relationships vs. Merged Tables
  • Creating Table Relationships in Excel's Data Model
  • Modifying Data Model Table Relationships
  • Managing Active vs. Inactive Table Relationships
  • Understanding Relationship Cardinality
  • Connecting Multiple Data Tables in the Data Model
  • Understanding Filter Flow
  • Hiding Fields from Excel Client Tools
  • Defining Hierarchies in a Data Model
  • Excel Data Model Best Practices
  • QUIZ: Building Table Relationships with Excel's Data Model
  • HOMEWORK: Building Table Relationships with Excel's Data Model
• Analyzing Data with Power Pivot & DAX
  • Introduction
  • Creating a "Power" Pivot Table
  • Power Pivots vs. “Normal” Pivots in Excel
  • Introducing Data Analysis Expressions (DAX)
  • Understanding DAX Calculated Columns
  • Understanding DAX Measures
  • Creating Implicit DAX Measures
  • Creating Explicit DAX Measures with AutoSum
  • Creating Explicit DAX Measures with Power Pivot
  • Understanding DAX Filter Context
  • Step-by-Step DAX Measure Calculation
  • RECAP: Calculated Columns vs. DAX Measures
  • Excel Power Pivot & DAX Best Practices
  • QUIZ: Analyzing Data with Power Pivot & DAX
  • HOMEWORK: Analyzing Data with Power Pivot & DAX
• Common DAX Formulas & Functions
  • Introduction
  • Understanding DAX Formula Syntax & Operators
  • Common DAX Function Categories
  • DAX Demo: Basic Math & Stats Functions
  • DAX Demo: COUNT, COUNTA, DISTINCTCOUNT & COUNTROWS
  • HOMEWORK: Math & Stats Functions
  • DAX Demo: Logical Functions (IF/AND/OR)
  • DAX Demo: SWITCH & SWITCH(TRUE)
  • DAX Demo: Common Text Functions
  • HOMEWORK: Logical & Text Functions
  • DAX Demo: CALCULATE
  • DAX Demo: Adding Filter Context with FILTER (Part 1)
  • DAX Demo: Adding Filter Context with FILTER (Part 2)
  • DAX Demo: Removing Filter Context with ALL
  • HOMEWORK: CALCULATE, FILTER & ALL
  • DAX Demo: Joining Data with RELATED
  • DAX Demo: Iterating with SUMX
  • DAX Demo: Iterating with RANKX
  • HOMEWORK: Iterator ("X") Functions
  • DAX Demo: Basic Date & Time Functions
  • DAX Demo: Time Intelligence Formulas
  • HOMEWORK: Time Intelligence
  • DAX Speed & Performance Considerations
  • DAX Best Practices
  • QUIZ: Common DAX Formulas & Functions
• Wrapping Up
  • Introduction
  • Data Visualization Options in Excel
  • Sneak Peek: Microsoft Power BI
  • Resources & Next Steps
  • More from Maven Analytics