Microsoft Power BI Desktop for Business Intelligence

Microsoft Power BI Desktop for Business Intelligence

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 190 lectures (15h 0m) | 4.57 GB

Master Power BI Desktop & learn advanced Power BI analysis & data visualization w/ a top Microsoft Power BI instructor

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 Course Structure & Outline
4 DOWNLOAD Course Resources
5 Introducing the Course Project
6 Setting Expectations

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

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

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

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

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

Artificial Intelligence (AI)
172 Section Introduction
173 Anomaly Detection
174 Smart Narratives
175 Q&A Visuals
176 Decomposition Trees
177 Key Influencers

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

BONUS PROJECT Maven Market
185 Introduction
186 PART 1 Connecting & Shaping the Data
187 PART 2 Creating the Data Model
188 PART 3 Adding DAX Measures
189 PART 4 Building the Report

BONUS LESSON
190 BONUS LESSON

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