image
The Ultimate Drawing Course Beginner to Advanced...
$179
$79
image
User Experience Design Essentials - Adobe XD UI UX...
$179
$79
Total:
$659

Description

The first thing you need to know about this course, is that this is
NOT
your granddad’s Excel.
Instead of the same old spreadsheet stuff, we’ll do a deep dive on a
truly revolutionary
set of tools that empower you to do industrial-strength
Business Intelligence
:

the art and science of transforming data - usually massive amounts of it -

into meaningful, actionable insights.
In the past, doing “real” BI meant using expensive enterprise software that only a select few people would have access to anyway. But with what you’ll learn in this course, you’ll be building robust Business Intelligence solutions in no time, using nothing more than an Excel spreadsheet on your desktop.
First up, we’ll dive into
Power Query
, a feature-packed yet easy to use tool for extracting, transforming, and loading (
ETL
for short) data from just about any source you can imagine into Excel. From text files to databases, wherever the data you want to analyze might be stored, you can use Power Query to pull it into Excel, and then transform it however you need to support your analysis.
Next, there's an optional section on Pivot Tables, just in case you’re not already familiar with them. While Pivot Tables may not be a revolutionary new feature in and of themselves, they nonetheless play a
crucial
role in the Excel Business Intelligence landscape.
We’ll then learn to turn those Pivot Tables into “Power” Pivot Tables, by connecting them to the
Excel Data Model
...which is basically a relational database that lives right inside your Excel spreadsheet! This will allow us to mash up and analyze multiple datasets in a single Pivot Table...no VLOOKUPS required!
And remember how Excel usually starts to sputter out once you try to play around with more than a couple hundred thousand rows of data? No more! Power Pivot let's you work with up to
hundreds of millions of records
in a single Excel file.
Then, so we can get the absolute most out of our Data Model (and
into
our Power Pivot Tables), we'll learn
DAX
, an incredibly powerful formula language for creating complex calculations that you can drop right into your Pivots.
Since the basics of DAX syntax are easy to pick up if you’re already familiar with Excel formulas, we'll venture into advanced topics like Time Intelligence, Iterator Functions, and Variables; and with exercises after almost every video, you’ll have plenty of opportunities to master what you’ve learned, right after you learn it.
Of course, all that number crunching doesn't help much if we can't present those numbers in an intuitive, easily digestible way. That's why I close the course out with a series of
powerful visualization techniques
- from
conditional formatting
to
Pivot Charts
- that will transform your calculations into
insights
that can be used to make real-world decisions.
We’ll even explore techniques for building
dynamic dashboards
in Excel, using
Slicers
and
Timelines

to not only filter our charts, but
actually change the metrics we display in them
. And all supported by the Data Model’s capacity for juggling hundreds of millions of rows of data in a single spreadsheet.
And in each section, I use hands-on demos, practical examples, and intuitive, common-sense explanations to teach you these concepts in a way that will help you see the connection between your new skills and the problems you’re trying to solve on the job.
But just as importantly, I’ve packed the course with TONS of exercises - ranging from straightforward to challenging - that will help you retain,
and even

build on
, what you’ve learned.
So if you want to master these game-changing tools and build professional-grade Business Intelligence solutions right on your desktop, all you need is Microsoft Excel -
and this course
- to do it. I look forward to seeing you there!
Who this course is for:
Aspiring Analysts who want to take their careers to the next level by unleashing Microsoft Excel's Business Intelligence functionality to build data solutions that stand out and get noticed
Data Professionals who want to quickly augment their skills by mastering an easy to use, yet industrial-strength Business Intelligence toolset
Business owners or executives who want to empower their employees to deliver self-service Business Intelligence without buying expensive, specialized software
Any Excel user who wants to unlock the secrets of their data using the best-in-class analytical tools right in their Excel spreadsheet

What you'll learn

Use Power Query to pull external datasets into Excel, and transform them into whatever shape is needed for your analysis

Master the art and science of Data Modeling in Excel, connecting your datasets from Power Query so they can be analyzed together

Build "Power" Pivot Tables to rapidly extract insights from your Data Model, whether your data tables have 10 rows or 10 million

Become proficient in the DAX formula language, to inject more sophisticated calculations and KPIs into your Pivot Tables than you even thought possible

Polish your calculations into professional presentations with data visualization tools like Pivot Charts and conditional formatting

Leverage Slicers and Timelines to engineer dynamic dashboards that maximize the amount of information you can present on a single screen

Retain - AND build on - everything you've learned, by tackling dozens of hands-on exercises that cover every concept in the course

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
1
1.1-Introduction
2-Power Query for Extract, Transform, and Load (ETL) operations
14
2.1-DOWNLOAD: Resources For This Section
2.2-A Note to Students Outside the US
2.3-Introducing Power Query
2.4-Applying Basic Transformations
2.5-Editing Transformations
2.6-Numerical Transformations
2.7-Text Transformations
2.8-Date Transformations - Building a Calendar Table
2.9-Conditional Transformations
2.10-IMPORTANT - If You're Following Along With The Examples
2.11-Merging Datasets
2.12-Appending Datasets
2.13-DOWNLOAD: Exercise Files For This Section
2.14-EXERCISES: Extracting, Transforming, and Loading With Power Query
3-OPTIONAL: Pivot Tables 101
7
3.1-Intro to Pivot Tables
3.2-Adding Layers to Pivot Tables
3.3-Pivot Table Formatting and Layout
3.4-Filtering Pivot Tables
3.5-Slicers
3.6-Pivot Table Math
3.7-Pivot Tables - Exercises
4-The Excel Data Model
11
4.1-DOWNLOAD: Resources For This Section
4.2-Introducing Excel's Data Model
4.3-Putting the Data Model to Work
4.4-Relationships
4.5-Relationships in the Excel Data Model
4.6-Power Pivot Tables
4.7-Calendar Tables
4.8-Power Pivot Pitfalls
4.9-Multiple Data Tables
4.10-DOWNLOAD: Exercise Files For This Section
4.11-EXERCISES: Data Modeling in Excel
5-Analyzing the Data Model With DAX
16
5.1-Calculated Columns With DAX
5.2-EXERCISES: Calculated Columns With DAX
5.3-The IF Function in DAX
5.4-EXERCISES: The IF Function in DAX
5.5-The SWITCH Function
5.6-EXERCISES: The SWITCH Function
5.7-The RELATED Function
5.8-EXERCISES: The RELATED Function
5.9-Introducing Measures
5.10-EXERCISES: Introducing Measures
5.11-Using DAX Functions in Measures
5.12-EXERCISES: Using DAX Functions in Measures
5.13-The CALCULATE Function
5.14-EXERCISES: The CALCULATE Function
5.15-The ALL Function
5.16-EXERCISES: The ALL Function
6-Advanced DAX
15
6.1-Introducing Time Intelligence Functions
6.2-The ISBLANK Function
6.3-EXERCISES: The ISBLANK Function
6.4-The DATEADD Function
6.5-EXERCISES: The DATEADD Function
6.6-The DATESINPERIOD Function
6.7-EXERCISES: The DATESINPERIOD Function
6.8-Variables in DAX
6.9-EXERCISES: Variables in DAX
6.10-The "X" Functions
6.11-EXERCISES: The "X" Functions
6.12-The RANKX Function
6.13-EXERCISES: The RANKX Function
6.14-The TOPN Function
6.15-EXERCISES: The TOPN Function
7-Data Visualization Techniques
10
7.1-Pivot Table Formatting Tips
7.2-Data Bars, Color Scales, and Icon Sets
7.3-Custom Conditional Formats
7.4-Introducing Pivot Charts
7.5-Column Charts
7.6-Line Charts, Area Charts, and Timelines
7.7-Combo Charts
7.8-Changing Measures With Slicers
7.9-Using Pivot Tables as Formulas
7.10-EXERCISES: Data Visualization Techniques