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Exploring the Essential Features of “Chris Dutton – Intro to Power Query, Power Pivot DAX”
INTRO TO POWER QUERY, POWER PIVOT & DAX
UP & RUNNING WITH EXCEL’S DATA MODELING & BUSINESS INTELLIGENCE TOOLS, WITH A BEST-SELLING INSTRUCTOR
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.
“I am a self-taught PowerQuery 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 are helping me build a method that I can confidently apply to my data. 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!”
– Tim B.
“He is a wonderful teacher who truly explains the “why” behind his methods and showcases concepts in a clear, tangible way.”
– Jessica A.
WHAT’S INCLUDED IN THE COURSE?
- Â Downloadable project files and resources
- Unique, hands-on demos and case studies
- Course quizzes & homework exercises
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
MEET YOUR INSTRUCTOR
CHRIS DUTTON
Chris Dutton is a certified Excel expert, EdTech entrepreneur, and best-selling instructor with 10+ years specializing in data visualization and business intelligence.
As Founder and COO of Maven Analytics, Chris’ work has been featured by Microsoft, HuffPost, Entrepreneur.com and the New York Times, reaching more than 500,000 students around the world. A leader in analytics education, Maven Analytics seeks to empower everyday people to change the world with data. Chris graduated summa cum laude and received the Charles Bluhdorn Prize in Economics at Tufts University.
COURSE CURRICULUM
Getting Started
Course Structure & Outline (1:22)
IMPORTANT: Versions & Compatibility (3:15)
Introducing the Course Project (1:16)
DOWNLOAD: Course Resources
Setting Expectations (1:53)
Intro to “Power Excel”
The “Power Excel” Workflow (3:50)
“Best Thing to Happen to Excel in 20 Years” (8:18)
When to use Power Query & Power Pivot (0:44)
QUIZ: Intro to “Power Excel”
HOMEWORK: Intro to “Power Excel”
Connecting & Shaping Data with Power Query
Introduction (0:27)
Meet Power Query (aka “Get Data”) (2:40)
The Query Editor (3:17)
Data Loading Options (1:40)
Basic Table Transformations (8:06)
Text-Specific Tools (10:17)
Number-Specific Tools (7:41)
Date-Specific Tools (7:39)
PRO TIP: Creating a Rolling Calendar (5:02)
Adding Index & Conditional Columns (7:44)
Grouping & Aggregating Data (7:10)
Pivoting & Unpivoting (8:52)
Modifying Workbook Queries (4:18)
Merging Queries (7:43)
Appending Queries (5:49)
Connecting to a Folder of Files (9:32)
Power Query Best Practices (2:44)
QUIZ: Power Query
HOMEWORK: Power Query
Data Modeling & Normalization
Introduction (0:28)
Meet Excel’s “Data Model” (3:38)
Data vs. Diagram View (2:33)
Database Normalization (4:14)
Data Tables vs. Lookup Tables (5:40)
Relationships vs. Merged Tables (2:07)
Creating Table Relationships (6:54)
Modifying Table Relationships (2:06)
Active vs. Inactive Relationships (3:55)
Relationship Cardinality (5:46)
Connecting Multiple Data Tables (5:59)
Filter Direction (5:08)
Hiding Fields from Client Tools (4:59)
Defining Hierarchies (3:53)
Data Model Best Practices (1:38)
QUIZ: Data Modeling 101
HOMEWORK: Data Modeling 101
Power Pivot & DAX
Introduction (0:29)
Creating a “Power” PivotTable (5:27)
“Power” Pivots vs. “Normal” Pivots (2:48)
Intro to Data Analysis Expressions (DAX) (1:12)
Calculated Columns (8:39)
DAX Measures = Supercharged Calculated Fields (2:24)
Creating Implicit Measures (1:59)
Creating Explicit Measures (AutoSum) (7:08)
Creating Explicit Measures (Power Pivot) (7:42)
Understanding Filter Context (9:18)
Step-by-Step Measure Calculation (12:06)
RECAP: Calculated Columns vs. Measures (2:29)
Power Pivot Best Practices (1:50)
QUIZ: Power Pivot & DAX 101
HOMEWORK: Power Pivot & DAX 101
DAX Formulas & Functions
Introduction (0:27)
DAX Formula Syntax & Operators (4:05)
Common DAX Function Categories (3:54)
Basic Math & Stats Functions (12:45)
COUNT, COUNTA, DISTINCTCOUNT & COUNTROWS (10:35)
HOMEWORK: Math & Stats Functions
Logical Functions (IF/AND/OR) (16:49)
SWITCH & SWITCH(TRUE) (10:33)
Text Functions (10:53)
HOMEWORK: Logical & Text Functions
The CALCULATE Function (14:39)
Adding Filter Context with FILTER (Part 1) (9:20)
Adding Filter Context with FILTER (Part 2) (14:23)
Removing Filter Context with ALL (9:06)
HOMEWORK: CALCULATE, FILTER & ALL
Joining Data with RELATED (3:39)
Iterator (“X”) Functions: SUMX (12:20)
Iterator (“X”) Functions: RANKX (5:33)
HOMEWORK: Iterator Functions
Basic Date & Time Functions (4:58)
Time Intelligence Formulas (17:02)
HOMEWORK: Time Intelligence
Speed & Performance Considerations (3:02)
DAX Best Practices (2:03)
QUIZ: Common DAX Functions
Wrapping Up
Introduction (0:53)
Data Visualization Options (4:35)
SNEAK PEEK: PowerBI (5:55)
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