Power BI Bootcamp: Zero to Mastery

16h 55m 3s
English
Paid
November 20, 2023

This Power BI Bootcamp will take you from absolute beginner in Power BI to being able to get hired as a confident and effective Business Intelligence Analyst. You'll learn the full Power BI suite of tools, the M programming language, and the DAX formula language, all while analyzing real-world datasets and building enterprise-level projects.

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# Title Duration
1 Power BI Bootcamp: Zero to Mastery 02:39
2 Introducing Power BI 07:17
3 Navigating the Power BI Interface 04:52
4 Installing and Configuring Power BI 04:43
5 ETL with Power BI 09:38
6 Fetching Data from Databases 07:34
7 Introducing Power Query 09:38
8 Applying Basic Transformations 08:00
9 Editing Transformations 10:58
10 Introducing the UFO Sightings Project 01:14
11 Solution: UFO Sightings Project - Part I 06:03
12 Numeric Transformations 12:30
13 Date Transformations 03:31
14 Text Transformations 15:16
15 Conditional Transformations 13:32
16 Solution: UFO Sightings Project - Part 2 11:39
17 Introducing Matrix Visualizations 15:38
18 Adding Layers to Matrix Visualizations 11:08
19 Navigating Matrix Visualizations 05:32
20 Formatting Visualizations 08:30
21 Data Bars 06:07
22 Conditional Formatting Rules 09:54
23 Solution: UFO Sightings Project - Part 3 12:47
24 Introducing Measures 04:46
25 Creating Your First Measure 10:31
26 Customizing Measures 09:34
27 Solution: UFO Sightings Project - Part 4 07:13
28 Column Charts 09:36
29 Column Chart Variations 05:05
30 Bar Charts 08:06
31 Line and Area Charts 07:23
32 Combo Charts 13:15
33 Visualizing Proportionality 11:01
34 Solution: UFO Sightings Project - Part 5 07:46
35 Customizing Chart Interactions 11:09
36 Customizing Chart Formatting 11:03
37 Map Charts 11:20
38 Building Dashboards 13:48
39 Formatting the Report Environment. 06:18
40 Solution: UFO Sightings Project - Part 6 12:32
41 Filtering Individual Visualizations 11:19
42 Filtering Multiple Visualizations 11:30
43 Slicers 08:19
44 Date Slicers 06:29
45 Solution: UFO Sightings Project - Part 7 10:05
46 Previewing Data 11:58
47 Configuring Refresh Options 04:34
48 Merging Datasets 15:11
49 Appending Datasets 06:29
50 Aggregate Calculations 13:01
51 Introducing Oodles of Noodles (Meal Kit Delivery Service Project) 01:26
52 Solution: Meal Kit Delivery Service Project - Part 1 10:30
53 Introducing the M Language 11:17
54 M Behind the Scenes 04:34
55 Creating Custom Columns with M 12:00
56 Creating Custom Filters with M 07:24
57 Using M Functions (Build a Calendar Table) 10:58
58 Solution: Meal Kit Delivery Service Project - Part 2 13:11
59 Introducing the Model View 12:45
60 Understanding Relationships 10:47
61 Relationships in Power BI - Part 1 09:58
62 Relationships in Power BI - Part 2 10:01
63 Using Related Data in Visuals 08:31
64 Exploring Filter Context 11:09
65 Calendar Tables 11:01
66 Data Modeling Pitfalls 09:48
67 Multiple Data Tables 08:25
68 Two-Way Relationships 14:10
69 Solution: Meal Kit Delivery Service Project - Part 3 08:35
70 Exercise: Imposter Syndrome 02:57
71 Calculated Columns with DAX 14:04
72 The IF Function 05:27
73 SWITCH 101 07:54
74 SWITCH 201 11:00
75 The RELATED Function 11:33
76 Using DAX Functions in Measures 15:34
77 The CALCULATE Function 12:03
78 Going Deeper with CALCULATE 09:32
79 The ALL Function 14:15
80 Introducing Time Intelligence Functions 14:38
81 The ISBLANK Function 05:06
82 The DATEADD Function 14:41
83 The DATESINPERIOD Function 17:41
84 Formatting and Commenting Code 12:21
85 Variables 12:07
86 The X Functions 13:18
87 The RANKX Function 07:26
88 The TOPN Function 11:36
89 Creating a Measure Table 13:53
90 Data Modeling and Analysis Best Practices 08:07
91 Card Visuals 10:14
92 Single-Value Cards 06:20
93 KPI Cards 07:49
94 Gauge Charts 15:59
95 Analyzing Time Series Data 12:16
96 Changing Measures Dynamically 14:09
97 What-If Parameters 14:59
98 Bookmarks 10:59
99 Drillthrough 11:14
100 Mobile View 06:54
101 Solution #1: Meal Kit Subscription Service Project - Part 8 13:17
102 Solution #2: Meal Kit Subscription Service Project - Part 8 09:51
103 Thank You! 01:18

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