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Maven Analytics, Chris Dutton & Aaron Parry – Microsoft Power BI Desktop for Business Intelligence (2023)

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Description

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Maven Analytics, Chris Dutton & Aaron Parry – Microsoft Power BI Desktop for Business Intelligence (2023)
Microsoft Power BI Desktop for Business Intelligence (2023)
Master Power BI Desktop for data analysis with hands-on assignments & projects from top-rated Power BI instructors
What you’ll learn

Build professional-quality business intelligence reports from the ground up
Blend and transform raw data into beautiful interactive dashboards
Design and implement the same tools used by professional analysts and data scientists
Showcase your skills with two full-scale course projects (with step-by-step solutions)
Explore powerful artificial intelligence tools and advanced visualization techniques
Learn from a #1 best-selling instructor and professional Power BI developer

Course content
10 sections • 190 lectures 
Getting Started 6 lectures 

READ ME: Important Notes for New Students

Course Introduction

Course Structure & Outline

DOWNLOAD: Course Resources

Introducing the Course Project

Setting Expectations
Introducing Microsoft Power BI Desktop 6 lectures 

Section Introduction

Meet Power BI Desktop

Downloading Power BI

IMPORTANT: Adjusting Settings

Power BI Desktop Interface & Workflow

Resources & Monthly Updates

QUIZ: Introducing Power BI Desktop 6 questions
Connecting & Shaping Data 34 lectures 

Section Introduction

Power BI Front-End vs. Back-End

Types of Data Connectors

The Power Query Editor

Basic Table Transformations

ASSIGNMENT: Table Transformations

SOLUTION: Table Transformations

PRO TIP: Storage & Connection Modes

Connecting to a Database

Extracting Data from the Web

Data QA & Profiling Tools

Text Tools

ASSIGNMENT: Text-Specific Tools

SOLUTION: Text-Specific Tools

Numerical Tools

ASSIGNMENT: Numerical Tools

SOLUTION: Numerical Tools

Date & Time Tools

Change Type with Locale

PRO TIP: Rolling Calendars

ASSIGNMENT: Calendar Tables

SOLUTION: Calendar Tables

Index & Conditional Columns

Calculated Column Best Practices

Grouping & Aggregating

Pivoting & Unpivoting

Merging Queries

Appending Queries

PRO TIP: Appending Files from a Folder

Data Source Settings

PRO TIP: Data Source Parameters

Refreshing Queries

PRO TIP: Importing Excel Models

Power Query Best Practices

QUIZ: Connecting & Shaping Data 10 questions
Creating a Data Model 25 lectures 

Section Introduction

Data Modeling 101

Database Normalization

Fact & Dimension Tables

Primary & Foreign Keys

Relationships vs. Merged Tables

Creating Table Relationships

Managing & Editing Relationships

Star & Snowflake Schemas

ASSIGNMENT: Table Relationships

SOLUTION: Table Relationships

PRO TIP: Active & Inactive Relationships

Relationship Cardinality

Connecting Multiple Fact Tables

Filter Context & Filter Flow

Bi-Directional Filters & Ambiguity

Hiding Fields from Report View

ASSIGNMENT: Filter Flow

SOLUTION: Filter Flow

PRO TIP: Model Layouts

Data Formats & Categories

Creating Hierarchies

ASSIGNMENT: Hierarchies

SOLUTION: Hierarchies

Data Model Best Practices

QUIZ: Creating a Data Model 11 questions
Calculated Fields with DAX 43 lectures 

Section Introduction

Data Analysis Expressions 101

DAX vs. M Languages

Intro to DAX Calculated Columns

Intro to DAX Measures

Implicit vs. Explicit Measures

Quick Measures

RECAP: Calculated Columns vs. Measures

PRO TIP: Dedicated Measure Tables

Understanding Filter Context

Step-by-Step DAX Measure Calculation

DAX Syntax & Operators

Common DAX Function Categories

Basic Math & Stats Functions

Counting Functions

ASSIGNMENT: Math & Stats Functions

SOLUTION: Math & Stats Functions

Conditional & Logical Functions

The SWITCH Function

ASSIGNMENT: Logical Functions

SOLUTION: Logical Functions

Common Text Functions

ASSIGNMENT: Text Functions

SOLUTION: Text Functions

Basic Date & Time Functions

ASSIGNMENT: Date & Time

SOLUTION: Date & Time

Joining Data with RELATED

The CALCULATE Function

DAX Measure Totals

ASSIGNMENT: CALCULATE

SOLUTION: CALCULATE

The ALL Function

ASSIGNMENT: CALCULATE & ALL

SOLUTION: CALCULATE & ALL

The FILTER Function

Iterator (X) Functions

ASSIGNMENT: Iterators

SOLUTION: Iterators

Time Intelligence Patterns

ASSIGNMENT: Time Intelligence

SOLUTION: Time Intelligence

DAX Best Practices

QUIZ: Calculated Fields with DAX 13 questions
Visualizing Data with Reports 57 lectures 

Section Introduction

The 3 Key Questions

Dashboard Design Framework

Sketching the Dashboard Layout

Adding Report Pages & Objects

Naming & Grouping Objects

Cards & Multi-Row Cards

ASSIGNMENT: Cards

SOLUTION: Cards

Building & Formatting Charts

Line Charts

PRO TIP: Trend Lines & Forecasts

ASSIGNMENT: Line Chart & Trend

SOLUTION: Line Chart & Trend

KPI Cards

Bar & Donut Charts

Basic Filtering Options

ASSIGNMENT: Donuts & Filters

SOLUTION: Donuts & Filters

Table & Matrix Visuals

Conditional formatting

Top N Filtering

ASSIGNMENT: Tables

SOLUTION: Tables

Top N Text Cards

ASSIGNMENT: Top N Text Cards

SOLUTION: Top N Text Cards

Map Visuals

Report Slicers

ASSIGNMENT: Slicers

SOLUTION: Slicers

PRO TIP: HASONEVALUE

Gauge Charts

PRO TIP: Advanced Conditional Formatting

Area Charts

Drill Up & Drill Down

ASSIGNMENT: Drill Up & Drill Down

SOLUTION: Drill Up & Drill Down

Drillthrough Filters

Editing Report Interactions

ASSIGNMENT: Report Interactions

SOLUTION: Report Interactions

Adding Bookmarks

ASSIGNMENT: Bookmarks

SOLUTION: Bookmarks

PRO TIP: Custom Navigation Buttons

PRO TIP: Slicer Panels

Numeric Range Parameters

Fields Parameters

ASSIGNMENT: Fields Parameters

SOLUTION: Fields Parameters

PRO TIP: Custom Tool Tips

Importing Custom Visuals

Managing & Viewing Roles

Mobile Layouts

PREVIEW: Publishing to Power BI Service

Data Visualization Best Practices

QUIZ: Visualizing Data with Reports 9 questions
Artificial Intelligence (AI) 6 lectures 

Section Introduction

Anomaly Detection

Smart Narratives

Q&A Visuals

Decomposition Trees

Key Influencers
Power BI Optimization Tools 7 lectures 

Section Introduction

The Optimize Ribbon

Pausing Visuals

Optimization Presets

Applying All Slicers

Performance Analyzer

External Tools
BONUS PROJECT: Maven Market 5 lectures 
Introduction

In this lecture, I’ll be kicking off the bonus course project where you’ll be working through the entire business intelligence workflow for a new client, Maven Market.
PART 1: Connecting & Shaping the Data

In part 1 of the bonus course project you’ll be connecting and shaping Maven Market’s data.
PART 2: Creating the Data Model

In part 2, you’ll be using the report created in part 1 to build a data model.
PART 3: Adding DAX Measures

In part 3, you’ll be adding all the DAX measures for use in your final report.
PART 4: Building the Report

In part 4, you’ll build the final report visual for Maven Market.
BONUS LESSON 1 lecture 

BONUS LESSON
Requirements

Microsoft Power BI Desktop (free download)
This course is designed for PC/Windows users (currently not available for Mac)
Experience with Excel Power Query, Power Pivot & DAX is a plus, but not required

Description
Welcome to the #1 best-selling Power BI Desktop course – completely rebuilt for 2023!
If you’re a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you’ve come to the right place. With more than 50,000 perfect 5-star reviews from students around the world, this is the course you’ve been looking for.
Throughout the course, you’ll learn from top instructors on the Maven Analytics team and put your skills to the test with hands-on projects and unique, real-world assignments.
THE COURSE PROJECT:
You’ll play the role of Business Intelligence Analyst for AdventureWorks Cycles, a fictional manufacturing company. Your role is to transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.
But don’t worry, we’ll be here to guide you along every step of the way, with intuitive, crystal clear explanations and helpful pro tips to take you from zero to expert – guaranteed.
This course is designed to follow the key stages of the business intelligence workflow, and simulate real-world tasks that data professionals encounter on the job:
STAGE 1: Connecting & Shaping Data

In this stage we’ll focus on building automated workflows to extract, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and more:

Data connectors
Storage & import modes
Query editing tools
Table transformations
Connecting to a database
Extracting data from the web
QA & Profiling tools
Text, numerical, date & time tools
Rolling calendars
Index & conditional columns
Grouping & aggregating
Pivoting & unpivoting
Merging & appending queries
Data source parameters
Importing Excel models

STAGE 2: Creating a Relational Data Model

In stage 2 we’ll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground up:

Database normalization
Fact & dimension tables
Primary & foreign keys
Star & snowflake schemas
Active & inactive relationships
Relationship cardinality
Filter context & flow
Bi-directional filters
Model layouts
Data formats & categories
Hierarchies

STAGE 3: Adding Calculated Fields with DAX

In stage 3 we’ll introduce data analysis expressions (DAX). We’ll create calculated columns and measures, explore topics like row and filter context, and practice applying powerful tools like filter functions, iterators, and time intelligence patterns:

DAX vs. M
Calculated columns & measures
Implicit, explicit & quick measures
Measure calculation steps
DAX syntax & operators
Math & stats functions
Conditional & logical functions
The SWITCH function
Text functions
Date & time functions
The RELATED function
CALCULATE, FILTER & ALL
Iterator (X) functions
Time intelligence patterns

STAGE 4: Visualizing Data with Reports

Stage 4 is about bringing our data to LIFE with reports and dashboards. We’ll review data viz best practices, building and format basic charts, and add interactivity with bookmarks, slicer panels, parameters, tooltips, report navigation, and more:

Data viz best practices
Dashboard design framework
Cards & KPIs
Line charts, trend lines & forecasts
On-object formatting
Table & matrix visuals
Conditional formatting
Top N filtering
Map visuals
Drill up, drill down & drillthrough
Report slicers & interactions
Bookmarks & page navigation
Numeric & fields parameters
Custom tooltips
Importing custom visuals
Managing & viewing roles (RLS)
Mobile layouts
Publishing to Power BI Service

We’ll also introduce powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, along with performance optimization techniques to keep your reports running smoothly at scale.
Ready to get started? Join today and get immediate, lifetime access to:

15 hours of high-quality video
200+ page Power BI ebook
25 homework assignments & solutions
Downloadable course project files

If you’re looking for the ONE course to help you build job-ready Power BI skills, you’ve come to the right place.
Who this course is for:

Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop
Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills
Aspiring data professionals looking to master the #1 business intelligence tool on the market
Students who want a comprehensive, engaging, and highly interactive approach to training
Anyone looking to pursue a career in data analysis or business intelligence

Instructors
Maven Analytics

Empowering everyday people with life-changing data skills

Maven Analytics is the first purpose-built, online platform for data analysts to learn new skills, showcase their work, and connect with peers and employers.

Named one of the top 10 education companies revolutionizing the industry, Maven’s award-winning Guided Learning model allows users to create personalized learning plans, build public portfolios, connect with expert instructors and career coaches, and join a community of world-class analytics talent.

We’ve helped 1,000,000+ students build job-ready skills, master tools like Excel, SQL, Power BI, Tableau and Python, and build the foundation for a successful career.
Chris Dutton

Founder, Maven Analytics

Chris Dutton is an EdTech entrepreneur and best-selling Data Analytics instructor.

As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

Maven Analytics was named one of the top 10 education companies revolutionizing the industry, and is the world’s first purpose-built, all-in-one platform for data professionals to launch or accelerate their careers.

Learn in-demand skills, create portfolios to showcase your work, and connect with world-class analysts around the world.

At Maven Analytics, our mission is to empower everyday people with life-changing data skills.
Aaron Parry

Professional Business Intelligence Trainer & Consultant

Aaron is a professional analytics consultant and Power BI expert, with 10+ years working in business intelligence and marketing analytics.

He’s an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.

Aaron is the Head of Student Success at Maven Analytics, a leader in analytics education, whose mission is to empower everyday people to change the world with data.