Microsoft Power BI Desktop for Business Intelligence
Microsoft Power BI Desktop for Business Intelligence, available at $129.99, has an average rating of 4.64, with 309 lectures, 10 quizzes, based on 140108 reviews, and has 555230 subscribers.
You will learn about Build professional-quality business intelligence reports from the ground up Blend and transform raw data into beautiful interactive visuals & dashboards Design and implement the same tools used by professional data 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 data analysis & visualization techniques Learn from a #1 best-selling instructor and professional Power BI developer This course is ideal for individuals who are Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop or Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills or Aspiring data professionals looking to master the #1 business intelligence tool on the market or Students who want a comprehensive, engaging, and highly interactive approach to training or Anyone looking to pursue a career in data analysis, analytics or business intelligence It is particularly useful for Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop or Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills or Aspiring data professionals looking to master the #1 business intelligence tool on the market or Students who want a comprehensive, engaging, and highly interactive approach to training or Anyone looking to pursue a career in data analysis, analytics or business intelligence.
Enroll now: Microsoft Power BI Desktop for Business Intelligence
Summary
Title: Microsoft Power BI Desktop for Business Intelligence
Price: $129.99
Average Rating: 4.64
Number of Lectures: 309
Number of Quizzes: 10
Number of Published Lectures: 197
Number of Published Quizzes: 5
Number of Curriculum Items: 319
Number of Published Curriculum Objects: 202
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Build professional-quality business intelligence reports from the ground up
- Blend and transform raw data into beautiful interactive visuals & dashboards
- Design and implement the same tools used by professional data 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 data analysis & visualization techniques
- Learn from a #1 best-selling instructor and professional Power BI developer
Who Should Attend
- 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, analytics or business intelligence
Target Audiences
- 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, analytics or business intelligence
Welcome to the #1 best-selling Power BI Desktop course – completely rebuilt for 2023/2024!
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 100,000 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 projectsand 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 (data prep, data modeling, exploratory data analysis, data visualization & dashboard design) and simulate real-world tasks that data professionals encounter every day on the job:
STAGE 1: Connecting & Shaping Data
In this stage we’ll focus on building automated workflows to extract, clean, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and more:
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Data connectors
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Storage & import modes
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Query editing tools
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Table transformations
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Connecting to a database
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Extracting data from the web
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QA & Profiling tools
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Text, numerical, date & time tools
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Rolling calendars
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Index & conditional columns
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Grouping & aggregating
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Pivoting & unpivoting
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Merging & appending queries
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Data source parameters
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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:
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Database normalization
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Fact & dimension tables
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Primary & foreign keys
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Star & snowflake schemas
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Active & inactive relationships
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Relationship cardinality
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Filter context & flow
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Bi-directional filters
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Model layouts
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Data formats & categories
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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:
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DAX vs. M
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Calculated columns & measures
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Implicit, explicit & quick measures
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Measure calculation steps
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DAX syntax & operators
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Math & stats functions
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Conditional & logical functions
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The SWITCH function
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Text functions
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Date & time functions
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The RELATED function
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CALCULATE, FILTER & ALL
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Iterator (X) functions
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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:
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Data viz best practices
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Dashboard design framework
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Cards & KPIs
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Line charts, trend lines & forecasts
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On-object formatting
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Table & matrix visuals
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Conditional formatting
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Top N filtering
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Map visuals
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Drill up, drill down & drillthrough
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Report slicers & interactions
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Bookmarks & page navigation
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Numeric & fields parameters
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Custom tooltips
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Importing custom visuals
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Managing & viewing roles (RLS)
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Mobile layouts
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Publishing to Power BI Service
We’ll also introduce brand new features as they are released, powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, and performance optimization techniques to keep your reports running smoothly at scale.
Ready to get started? Join today and get immediate, lifetime accessto:
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15+ hours of high-quality video
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200+ page Power BI ebook
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25 homework assignments & solutions
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Downloadable course project files
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Expert Q&A support forum
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30-day money-back guarantee
If you’re looking for the ONE course to help you build job-ready Power BI skills, you’ve come to the right place.
Happy learning!
-Chris & Aaron (Maven Analytics)
See why this is one of the TOP-RATED Power BI courses in the world:
“I believe this is the best Power BI course out there. I spent £1400 to attend a 3-day Power BI crash course, and have to confess it’s nothing compared to the knowledge, skills, expertise and understanding derived from this course. I am forever grateful to Chris and the Maven Analytics team for doing such amazing work and to Udemy for making this available.”
-Isaac Mensah
“Resources are awesome. Presenter is brilliant. I found this course more useful than the official Power BI course from Microsoft. Things are easy to follow, and presentations are high quality.”
-Jacobus M.
“Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His ‘pro-tips’ are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I’m feeling much more confident to dig in and use Power BI on my own projects!”
-Bill Jerrow
“Simply put, this course is AMAZING! The instructor literally takes you step-by-step from knowing nothing about Power BI into nearly an expert! I have had experience working with Power BI even in a corporate setting in the past, and I was still blown away by the level of granularity Chris was able to casually explain in a way that made sense. The hands-on exercises are THE perfect way to reinforce the concepts you learn throughout the course and connect theory to application. Can’t speak enough to how great this course is, I will definitely be coming back to it as a reference guide in my work and would recommend it to anyone looking to learn Power BI!”
-Ikenna Egbosimba
“I’ve been in university classrooms for much of my life and Chris is a university level instructor.”
-Allan Searl
Looking for the full business intelligence stack? Search for “Maven Analytics“ to browse our full course library, including Excel, Power BI, MySQL, Tableau, Alteryx& Python!
Course Curriculum
Chapter 1: Getting Started
Lecture 1: READ ME: Important Notes for New Students
Lecture 2: Course Introduction
Lecture 3: Meet Maven Analytics
Lecture 4: Course Structure & Outline
Lecture 5: DOWNLOAD: Course Resources
Lecture 6: Introducing the Course Project
Lecture 7: Setting Expectations
Chapter 2: Introducing Microsoft Power BI Desktop
Lecture 1: Section Introduction
Lecture 2: Meet Power BI Desktop
Lecture 3: Downloading Power BI
Lecture 4: IMPORTANT: Adjusting Settings
Lecture 5: Power BI Desktop Interface & Workflow
Lecture 6: Resources & Monthly Updates
Chapter 3: Connecting & Shaping Data
Lecture 1: Section Introduction
Lecture 2: Power BI Front-End vs. Back-End
Lecture 3: Types of Data Connectors
Lecture 4: The Power Query Editor
Lecture 5: Basic Table Transformations
Lecture 6: ASSIGNMENT: Table Transformations
Lecture 7: SOLUTION: Table Transformations
Lecture 8: PRO TIP: Storage & Connection Modes
Lecture 9: Connecting to a Database
Lecture 10: Extracting Data from the Web
Lecture 11: Data QA & Profiling Tools
Lecture 12: Text Tools
Lecture 13: ASSIGNMENT: Text-Specific Tools
Lecture 14: SOLUTION: Text-Specific Tools
Lecture 15: Numerical Tools
Lecture 16: ASSIGNMENT: Numerical Tools
Lecture 17: SOLUTION: Numerical Tools
Lecture 18: Date & Time Tools
Lecture 19: Change Type with Locale
Lecture 20: PRO TIP: Rolling Calendars
Lecture 21: ASSIGNMENT: Calendar Tables
Lecture 22: SOLUTION: Calendar Tables
Lecture 23: Index & Conditional Columns
Lecture 24: Calculated Column Best Practices
Lecture 25: Grouping & Aggregating
Lecture 26: Pivoting & Unpivoting
Lecture 27: Merging Queries
Lecture 28: Appending Queries
Lecture 29: PRO TIP: Appending Files from a Folder
Lecture 30: Data Source Settings
Lecture 31: PRO TIP: Data Source Parameters
Lecture 32: Refreshing Queries
Lecture 33: PRO TIP: Importing Excel Models
Lecture 34: Power Query Best Practices
Chapter 4: Creating a Data Model
Lecture 1: Section Introduction
Lecture 2: Data Modeling 101
Lecture 3: Database Normalization
Lecture 4: Fact & Dimension Tables
Lecture 5: Primary & Foreign Keys
Lecture 6: Relationships vs. Merged Tables
Lecture 7: Creating Table Relationships
Lecture 8: Managing & Editing Relationships
Lecture 9: Star & Snowflake Schemas
Lecture 10: ASSIGNMENT: Table Relationships
Lecture 11: SOLUTION: Table Relationships
Lecture 12: PRO TIP: Active & Inactive Relationships
Lecture 13: Relationship Cardinality
Lecture 14: Connecting Multiple Fact Tables
Lecture 15: Filter Context & Filter Flow
Lecture 16: Bi-Directional Filters & Ambiguity
Lecture 17: Hiding Fields from Report View
Lecture 18: ASSIGNMENT: Filter Flow
Lecture 19: SOLUTION: Filter Flow
Lecture 20: PRO TIP: Model Layouts
Lecture 21: Data Formats & Categories
Lecture 22: Creating Hierarchies
Lecture 23: ASSIGNMENT: Hierarchies
Lecture 24: SOLUTION: Hierarchies
Lecture 25: Data Model Best Practices
Chapter 5: Calculated Fields with DAX
Lecture 1: Section Introduction
Lecture 2: Data Analysis Expressions 101
Lecture 3: DAX vs. M Languages
Lecture 4: Intro to DAX Calculated Columns
Lecture 5: Intro to DAX Measures
Lecture 6: Implicit vs. Explicit Measures
Lecture 7: Quick Measures
Lecture 8: RECAP: Calculated Columns vs. Measures
Lecture 9: PRO TIP: Dedicated Measure Tables
Lecture 10: Understanding Filter Context
Lecture 11: Step-by-Step DAX Measure Calculation
Lecture 12: DAX Syntax & Operators
Lecture 13: Common DAX Function Categories
Lecture 14: Basic Math & Stats Functions
Lecture 15: Counting Functions
Lecture 16: ASSIGNMENT: Math & Stats Functions
Lecture 17: SOLUTION: Math & Stats Functions
Lecture 18: Conditional & Logical Functions
Lecture 19: The SWITCH Function
Lecture 20: ASSIGNMENT: Logical Functions
Instructors
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Maven Analytics
Empowering everyday people with life-changing data skills -
Chris Dutton
Best-Selling Instructor, Founder @ Maven Analytics -
Aaron Parry
Professional Business Intelligence Trainer & Consultant
Rating Distribution
- 1 stars: 441 votes
- 2 stars: 798 votes
- 3 stars: 7760 votes
- 4 stars: 45220 votes
- 5 stars: 86039 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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