Microsoft Power BI Desktop for Business Intelligence

Microsoft Power BI Desktop for Business Intelligence

English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 197 lectures (16h 27m) | 7.06 GB

Master Power BI Desktop for data prep, data analysis, data visualization & dashboard design w/ top Power BI instructors!

If you’re looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you’ve come to the right place.

Power BI is quickly becoming the world’s most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike. With Power BI you can connect to hundreds of data sources, build complex relational models using simple and intuitive tools, and design stunning, interactive dashboards from scratch — all for free.

In this course, you’ll be playing the role of Lead Business Intelligence Analyst for Adventure Works Cycles, a global manufacturing company. Your mission? To design and deliver a professional-quality, end-to-end business intelligence solution, armed only with Power BI and a handful of raw csv files.

But don’t worry, I’ll be guiding you through the ins-and-outs of Power BI Desktop, sharing crystal clear explanations and helpful pro tips each step of the way. We’ll follow a steady, systematic progression through the Power BI workflow, and break down our project into FOUR KEY OBJECTIVES:

POWER BI OBJECTIVE #1: Connect & Transform the Raw Data

  • Intro to the Power BI Query Editor
  • Types of Power BI Data Connectors
  • Basic Table Transformations
  • Text, Number & Date Tools
  • Index & Conditional Columns
  • Grouping & Aggregating Data
  • Pivoting & Unpivoting
  • Modifying, Merging & Appending Queries
  • Connecting to Folders
  • Defining Hierarchies & Categories
  • Query Editing & Power BI Best Practices

POWER BI OBJECTIVE #2: Build a Relational Data Model

  • Intro to Database Normalization
  • Data (“Fact”) Tables vs. Lookup (“Dimension”) Tables
  • Creating Power BI Table Relationships
  • “Star” vs. “Snowflake” Schemas
  • Active vs. Inactive Relationships
  • Relationship Cardinality
  • Connecting Multiple Data Tables
  • Filtering & Cross-Filtering
  • Hiding Fields from the Power BI Report View
  • Data Modeling & Power BI best Practices

POWER BI OBJECTIVE #3: Add Calculated Fields with DAX

  • Intro to Data Analysis Expressions (DAX)
  • Calculated Columns vs. Measures
  • Row Context vs. Filter Context in Power BI
  • DAX Syntax & Operators
  • Common Power BI Functions
  • Basic Date & Time Formulas
  • Logical & Conditional Statements
  • Text, Math & Stats Functions
  • Joining Data with RELATED
  • CALCULATE, ALL & FILTER Functions
  • DAX Iterators (SUMX, AVERAGEX)
  • Time Intelligence Formulas
  • DAX & Power BI Best Practices

POWER BI OBJECTIVE #4: Design Interactive Power BI Reports

  • Intro to the Power BI Report View
  • Adding Basic Charts to Power BI Reports
  • Formatting & Filtering Options
  • Matrix Visuals
  • Slicers & Timelines
  • Cards & KPIs
  • Power BI Map Visuals (Basic, Fill, ArcGIS)
  • Treemaps, Lines, Areas & Gauges
  • Editing Report interactions
  • Adding Drillthrough Filters
  • Linking to Report Bookmarks
  • Using “What-If” Parameters
  • Managing & Viewing Roles
  • PREVIEW: Publishing to Power BI Service
  • Power BI Data Viz Best Practices

By the end of the Adventure Works project, not only will you have developed an entire business intelligence tool from the ground up using Power BI, but you will have gained the knowledge and confidence to apply these same concepts to your own Power BI projects.

For those looking for more opportunities to test their Power BI skills, I’ve also included an additional set of project files for a bonus Final Project. This is your chance to showcase all of the skills you’ve developed throughout the course, and apply them to a brand new data set from Maven Market, a global supermarket chain.

Whether you’re a casual Power BI user, aspiring analyst, or data science professional, this course will give you the tools you need to become an absolute Power BI ROCK STAR — guaranteed.

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 B.I. tools used by professional analysts and data scientists
  • Showcase your skills with two full-scale course projects (with step-by-step solutions)
  • Understand the business intelligence workflow from end-to-end
  • Learn from a best-selling instructor and professional BI developer
Table of Contents

Getting Started
1 READ ME Important Notes for New Students
2 Course Introduction
3 Meet Maven Analytics
4 Course Structure Outline
5 DOWNLOAD Course Resources
6 Introducing the Course Project
7 Setting Expectations

Introducing Microsoft Power BI Desktop
8 Section Introduction
9 Meet Power BI Desktop
10 Downloading Power BI
11 IMPORTANT Adjusting Settings
12 Power BI Desktop Interface Workflow
13 Resources Monthly Updates

Connecting Shaping Data
14 Section Introduction
15 Power BI FrontEnd vs BackEnd
16 Types of Data Connectors
17 The Power Query Editor
18 Basic Table Transformations
19 ASSIGNMENT Table Transformations
20 SOLUTION Table Transformations
21 PRO TIP Storage Connection Modes
22 Connecting to a Database
23 Extracting Data from the Web
24 Data QA Profiling Tools
25 Text Tools
26 ASSIGNMENT TextSpecific Tools
27 SOLUTION TextSpecific Tools
28 Numerical Tools
29 ASSIGNMENT Numerical Tools
30 SOLUTION Numerical Tools
31 Date Time Tools
32 Change Type with Locale
33 PRO TIP Rolling Calendars
34 ASSIGNMENT Calendar Tables
35 SOLUTION Calendar Tables
36 Index Conditional Columns
37 Calculated Column Best Practices
38 Grouping Aggregating
39 Pivoting Unpivoting
40 Merging Queries
41 Appending Queries
42 PRO TIP Appending Files from a Folder
43 Data Source Settings
44 PRO TIP Data Source Parameters
45 Refreshing Queries
46 PRO TIP Importing Excel Models
47 Power Query Best Practices

Creating a Data Model
48 Section Introduction
49 Data Modeling 101
50 Database Normalization
51 Fact Dimension Tables
52 Primary Foreign Keys
53 Relationships vs Merged Tables
54 Creating Table Relationships
55 Managing Editing Relationships
56 Star Snowflake Schemas
57 ASSIGNMENT Table Relationships
58 SOLUTION Table Relationships
59 PRO TIP Active Inactive Relationships
60 Relationship Cardinality
61 Connecting Multiple Fact Tables
62 Filter Context Filter Flow
63 BiDirectional Filters Ambiguity
64 Hiding Fields from Report View
65 ASSIGNMENT Filter Flow
66 SOLUTION Filter Flow
67 PRO TIP Model Layouts
68 Data Formats Categories
69 Creating Hierarchies
70 ASSIGNMENT Hierarchies
71 SOLUTION Hierarchies
72 Data Model Best Practices

Calculated Fields with DAX
73 Section Introduction
74 Data Analysis Expressions 101
75 DAX vs M Languages
76 Intro to DAX Calculated Columns
77 Intro to DAX Measures
78 Implicit vs Explicit Measures
79 Quick Measures
80 RECAP Calculated Columns vs Measures
81 PRO TIP Dedicated Measure Tables
82 Understanding Filter Context
83 StepbyStep DAX Measure Calculation
84 DAX Syntax Operators
85 Common DAX Function Categories
86 Basic Math Stats Functions
87 Counting Functions
88 ASSIGNMENT Math Stats Functions
89 SOLUTION Math Stats Functions
90 Conditional Logical Functions
91 The SWITCH Function
92 ASSIGNMENT Logical Functions
93 SOLUTION Logical Functions
94 Common Text Functions
95 ASSIGNMENT Text Functions
96 SOLUTION Text Functions
97 Basic Date Time Functions
98 ASSIGNMENT Date Time
99 SOLUTION Date Time
100 Joining Data with RELATED
101 The CALCULATE Function
102 DAX Measure Totals
103 ASSIGNMENT CALCULATE
104 SOLUTION CALCULATE
105 The ALL Function
106 ASSIGNMENT CALCULATE ALL
107 SOLUTION CALCULATE ALL
108 The FILTER Function
109 Iterator X Functions
110 ASSIGNMENT Iterators
111 SOLUTION Iterators
112 Time Intelligence Patterns
113 ASSIGNMENT Time Intelligence
114 SOLUTION Time Intelligence
115 DAX Best Practices

Visualizing Data with Reports
116 Section Introduction
117 The 3 Key Questions
118 Dashboard Design Framework
119 Sketching the Dashboard Layout
120 Adding Report Pages Objects
121 Naming Grouping Objects
122 Cards MultiRow Cards
123 ASSIGNMENT Cards
124 SOLUTION Cards
125 Building Formatting Charts
126 Line Charts
127 PRO TIP Trend Lines Forecasts
128 ASSIGNMENT Line Chart Trend
129 SOLUTION Line Chart Trend
130 KPI Cards
131 Bar Donut Charts
132 Basic Filtering Options
133 ASSIGNMENT Donuts Filters
134 SOLUTION Donuts Filters
135 Table Matrix Visuals
136 Conditional formatting
137 Top N Filtering
138 ASSIGNMENT Tables
139 SOLUTION Tables
140 Top N Text Cards
141 ASSIGNMENT Top N Text Cards
142 SOLUTION Top N Text Cards
143 Map Visuals
144 Report Slicers
145 ASSIGNMENT Slicers
146 SOLUTION Slicers
147 PRO TIP HASONEVALUE
148 Gauge Charts
149 PRO TIP Advanced Conditional Formatting
150 Area Charts
151 Drill Up Drill Down
152 ASSIGNMENT Drill Up Drill Down
153 SOLUTION Drill Up Drill Down
154 Drillthrough Filters
155 Editing Report Interactions
156 ASSIGNMENT Report Interactions
157 SOLUTION Report Interactions
158 Adding Bookmarks
159 ASSIGNMENT Bookmarks
160 SOLUTION Bookmarks
161 PRO TIP Custom Navigation Buttons
162 PRO TIP Slicer Panels
163 Numeric Range Parameters
164 Fields Parameters
165 ASSIGNMENT Fields Parameters
166 SOLUTION Fields Parameters
167 PRO TIP Custom Tool Tips
168 Importing Custom Visuals
169 Managing Viewing Roles
170 Mobile Layouts
171 PREVIEW Publishing to Power BI Service
172 Data Visualization Best Practices

Artificial Intelligence AI
173 Section Introduction
174 Anomaly Detection
175 Smart Narratives
176 QA Visuals
177 Decomposition Trees
178 Key Influencers

Power BI Optimization Tools
179 Section Introduction
180 The Optimize Ribbon
181 Pausing Visuals
182 Optimization Presets
183 Applying All Slicers
184 Performance Analyzer
185 External Tools

New Power BI Features Updates
186 About this Section
187 Calculation Groups October 2023
188 New Card Visual JuneNovember 2023
189 DAX Query View November 2023
190 Button Slicer November 2023
191 Visual Calculations February 2024

BONUS PROJECT Maven Market
192 Introduction
193 PART 1 Connecting Shaping the Data
194 PART 2 Creating the Data Model
195 PART 3 Adding DAX Measures
196 PART 4 Building the Report

BONUS LESSON
197 BONUS LESSON

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