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Microsoft Excel: Business Intelligence w/ Power Query & DAX

Office Productivity

Rating4.7
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Microsoft Excel: Business Intelligence w/ Power Query & DAX, available at $99.99, has an average rating of 4.71, with 91 lectures, 5 quizzes, based on 24081 reviews, and has 113006 subscribers.

You will learn about Get up and running with MS Excel's powerful data modeling & business intelligence tools Learn how to use Power Query, Power Pivot & DAX to revolutionize your data analysis workflow in Excel Master unique tips, tools and case studies that you won't find in ANY other course Explore fun, interactive, and highly effective lessons from a best-selling Microsoft Excel instructor Get LIFETIME access to project files, quizzes and homework exercises, and 1-on-1 expert support Build pro-quality business intelligence solutions to blend and analyze data from multiple sources This course is ideal for individuals who are Excel users who want to learn advanced data analysis, modeling & business intelligence tools or Students looking for a comprehensive, engaging, and highly interactive approach to Microsoft Excel training or Anyone looking to become an Excel POWER USER and supercharge their analytics skillset or Students looking to pursue a career in data analysis, data science or business intelligence It is particularly useful for Excel users who want to learn advanced data analysis, modeling & business intelligence tools or Students looking for a comprehensive, engaging, and highly interactive approach to Microsoft Excel training or Anyone looking to become an Excel POWER USER and supercharge their analytics skillset or Students looking to pursue a career in data analysis, data science or business intelligence.

Enroll now: Microsoft Excel: Business Intelligence w/ Power Query & DAX

Summary

Title: Microsoft Excel: Business Intelligence w/ Power Query & DAX

Price: $99.99

Average Rating: 4.71

Number of Lectures: 91

Number of Quizzes: 5

Number of Published Lectures: 88

Number of Published Quizzes: 5

Number of Curriculum Items: 96

Number of Published Curriculum Objects: 93

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

  • Get up and running with MS Excel's powerful data modeling & business intelligence tools
  • Learn how to use Power Query, Power Pivot & DAX to revolutionize your data analysis workflow in Excel
  • Master unique tips, tools and case studies that you won't find in ANY other course
  • Explore fun, interactive, and highly effective lessons from a best-selling Microsoft Excel instructor
  • Get LIFETIME access to project files, quizzes and homework exercises, and 1-on-1 expert support
  • Build pro-quality business intelligence solutions to blend and analyze data from multiple sources

Who Should Attend

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

Target Audiences

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

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

If you’re looking to become a power Excel user and absolutely supercharge your Excel analytics game, this course is the A-Z guide that you’re looking for. I’ll introduce the “Power Excel” landscape, and explore what these Excel tools are all about and why they are changing the world of self-service analytics and business intelligence.

Together, we’ll walk through the Excel BI workflow, and build an entire Excel data model from scratch:

  • First we’ll get hands-on with Power Query; a tool to extract, transform, and load data into Excel from flat files, folders, databases, API services and more. We’ll practice shaping, blending, cleaning and exploring our project files in Excel’s query editor, and create completely automated loading procedures inside of Excel 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 the Excel data model interface, introduce some best practices and pro tips, and then create our own relational database to analyze throughout the course.

  • Finally, we’ll use Power Pivotand DAX to explore 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 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 MS 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 excel analytics NINJA.

See you in there!

-Chris (Founder,Maven Analytics)

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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Looking for our full course library? Search “Maven Analytics” to browse our full collection of Excel, Power BI, SQL, Tableau, Python, Alteryx & Machine Learningcourses!

Hear why this is one of the TOP-RATED Excel 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.

*This course includes Excel project files, quizzes & homework exercises, 1-on-1 instructor support, LIFETIME access and a 100% money-back guarantee!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Course Structure & Outline

Lecture 2: IMPORTANT: Versions & Compatibility

Lecture 3: READ ME: Important Notes for New Students

Lecture 4: Introducing the Course Project

Lecture 5: DOWNLOAD: Course Resources

Lecture 6: Setting Expectations

Chapter 2: Intro to “Power Excel"

Lecture 1: Understanding the “Power Excel” Workflow

Lecture 2: Power Query + Power Pivot: "Best Thing to Happen to Excel in 20 Years"

Lecture 3: When to use Power Query & Power Pivot

Lecture 4: HOMEWORK: Intro to "Power Excel"

Chapter 3: Connecting & Transforming Data with Power Query in Excel

Lecture 1: Introduction

Lecture 2: Getting to Know Power Query in Excel

Lecture 3: Exploring Excel's Power Query Editor

Lecture 4: Power Query Data Loading Options

Lecture 5: IMPORTANT: Updating Locale Settings

Lecture 6: Applying Basic Table Transformations with Power Query

Lecture 7: Power Query Demo: Text Tools

Lecture 8: Power Query Demo: Number & Value Tools

Lecture 9: Power Query Demo: Date & Time Tools

Lecture 10: PRO TIP: Creating a Rolling Calendar with Power Query

Lecture 11: Power Query Demo: Generating Index & Conditional Columns

Lecture 12: Power Query Demo: Grouping & Aggregating Records

Lecture 13: Power Query Demo: Pivoting & Unpivoting Data

Lecture 14: Modifying Excel Workbook Queries

Lecture 15: Merging Queries with Power Query

Lecture 16: Appending Queries with Power Query

Lecture 17: Power Query Demo: Connecting to a Folder of Files

Lecture 18: PRO TIP: Additional Data Connectors (Excel, MySQL, PDF, Web)

Lecture 19: Excel Power Query Best Practices

Lecture 20: HOMEWORK: Connecting & Transforming Data with Power Query in Excel

Chapter 4: Building Table Relationships with Excel's Data Model

Lecture 1: Introduction

Lecture 2: Meet Excel's "Data Model"

Lecture 3: The Data Model Data vs. Diagram View

Lecture 4: Principles of Database Normalization

Lecture 5: Understanding Data Tables vs. Lookup Tables

Lecture 6: Benefits of Relationships vs. Merged Tables

Lecture 7: Creating Table Relationships in Excel's Data Model

Lecture 8: Modifying Data Model Table Relationships

Lecture 9: Managing Active vs. Inactive Table Relationships

Lecture 10: Understanding Relationship Cardinality

Lecture 11: Connecting Multiple Data Tables in the Data Model

Lecture 12: Understanding Filter Flow

Lecture 13: Hiding Fields from Excel Client Tools

Lecture 14: Defining Hierarchies in a Data Model

Lecture 15: Excel Data Model Best Practices

Lecture 16: HOMEWORK: Building Table Relationships with Excel's Data Model

Chapter 5: Analyzing Data with Power Pivot & DAX

Lecture 1: Introduction

Lecture 2: Creating a "Power" Pivot Table

Lecture 3: Power Pivots vs. “Normal” Pivots in Excel

Lecture 4: Introducing Data Analysis Expressions (DAX)

Lecture 5: Understanding DAX Calculated Columns

Lecture 6: Understanding DAX Measures

Lecture 7: Creating Implicit DAX Measures

Lecture 8: Creating Explicit DAX Measures with AutoSum

Lecture 9: Creating Explicit DAX Measures with Power Pivot

Lecture 10: Understanding DAX Filter Context

Lecture 11: Step-by-Step DAX Measure Calculation

Lecture 12: RECAP: Calculated Columns vs. DAX Measures

Lecture 13: Excel Power Pivot & DAX Best Practices

Lecture 14: HOMEWORK: Analyzing Data with Power Pivot & DAX

Chapter 6: Common DAX Formulas & Functions

Lecture 1: Introduction

Lecture 2: Understanding DAX Formula Syntax & Operators

Lecture 3: Common DAX Function Categories

Lecture 4: DAX Demo: Basic Math & Stats Functions

Lecture 5: DAX Demo: COUNT, COUNTA, DISTINCTCOUNT & COUNTROWS

Lecture 6: HOMEWORK: Math & Stats Functions

Lecture 7: DAX Demo: Logical Functions (IF/AND/OR)

Lecture 8: DAX Demo: SWITCH & SWITCH(TRUE)

Lecture 9: DAX Demo: Common Text Functions

Lecture 10: HOMEWORK: Logical & Text Functions

Lecture 11: DAX Demo: CALCULATE

Lecture 12: DAX Demo: Adding Filter Context with FILTER (Part 1)

Lecture 13: DAX Demo: Adding Filter Context with FILTER (Part 2)

Lecture 14: DAX Demo: Removing Filter Context with ALL

Lecture 15: HOMEWORK: CALCULATE, FILTER & ALL

Lecture 16: DAX Demo: Joining Data with RELATED

Lecture 17: DAX Demo: Iterating with SUMX

Lecture 18: DAX Demo: Iterating with RANKX

Lecture 19: HOMEWORK: Iterator ("X") Functions

Lecture 20: DAX Demo: Basic Date & Time Functions

Lecture 21: DAX Demo: Time Intelligence Formulas

Lecture 22: HOMEWORK: Time Intelligence

Lecture 23: DAX Speed & Performance Considerations

Lecture 24: DAX Best Practices

Chapter 7: Wrapping Up

Lecture 1: Introduction

Lecture 2: Data Visualization Options in Excel

Lecture 3: Sneak Peek: Microsoft Power BI

Lecture 4: BONUS LESSON

Instructors

  • Maven Analytics
    Maven Analytics
    Empowering everyday people with life-changing data skills
  • Chris Dutton
    Chris Dutton
    Best-Selling Instructor, Founder @ Maven Analytics

Rating Distribution

  • 1 stars: 40 votes
  • 2 stars: 108 votes
  • 3 stars: 1052 votes
  • 4 stars: 7073 votes
  • 5 stars: 15808 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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