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Microsoft Power BI Desktop for Business Intelligence - AD-TEAM - 11-24-2024
![[Image: 1d90c75009844f6aa42499d63dec0b38.jpg]](https://i124.fastpic.org/big/2024/1124/38/1d90c75009844f6aa42499d63dec0b38.jpg)
Microsoft Power BI Desktop for Business Intelligence
Last updated 5/2024
Duration: 16h28m | .MP4 1920x1080, 30 fps® | AAC, 44100 Hz, 2ch | 7.06 GB
Genre: eLearning | Language: English
Master Power BI Desktop for data prep, data analysis, data visualization & dashboard design w/ top 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 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
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 2023/2024!
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 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
(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:
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
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 access
to:
15+ hours of high-quality video
200+ page Power BI ebook
25 homework assignments & solutions
Downloadable course project files
Expert Q&A support forum
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
!
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, analytics or business intelligence
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