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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:02,000 -: Hey everyone, Aaron Perry here. 2 00:00:02,000 --> 00:00:05,000 Now that Chris has introduced us to Power BI Desktop, 3 00:00:05,000 --> 00:00:07,000 it's time to officially kick off 4 00:00:07,000 --> 00:00:09,000 our Adventureworks Project. 5 00:00:09,000 --> 00:00:12,000 And to do this, we're gonna work through the first phase 6 00:00:12,000 --> 00:00:15,000 of the Business Intelligence Workflow, where we'll connect, 7 00:00:15,000 --> 00:00:20,000 shape, and transform our source data using Power Query. 8 00:00:20,000 --> 00:00:20,000 Let's dig in. 9 00:00:22,000 --> 00:00:24,000 All right, so we're off to a great start so far. 10 00:00:24,000 --> 00:00:26,000 Chris has walked us through downloading 11 00:00:26,000 --> 00:00:30,000 and installing Power BI, getting settings configured 12 00:00:30,000 --> 00:00:33,000 and a high level overview of the Power BI workflow. 13 00:00:33,000 --> 00:00:36,000 So now it's time to actually load our data. 14 00:00:36,000 --> 00:00:39,000 So in this section, we're gonna learn how to connect 15 00:00:39,000 --> 00:00:42,000 to our source files, shape and transform our tables 16 00:00:42,000 --> 00:00:45,000 and use the query editing tools to modify, merge 17 00:00:45,000 --> 00:00:49,000 and append our data to prepare it for analysis. 18 00:00:49,000 --> 00:00:51,000 And we'll learn this by exploring the different types 19 00:00:51,000 --> 00:00:54,000 of data connectors in the Power BI interface. 20 00:00:54,000 --> 00:00:56,000 We'll dig into connection modes. 21 00:00:56,000 --> 00:01:00,000 We'll talk about the data QA and profiling tools. 22 00:01:00,000 --> 00:01:00,000 We'll take a look 23 00:01:00,000 --> 00:01:03,000 at different types of common table transformations, 24 00:01:03,000 --> 00:01:06,000 how to create calendars, and much, much more. 25 00:01:06,000 --> 00:01:09,000 And by the end of this section, you should be pretty 26 00:01:09,000 --> 00:01:13,000 well equipped to import, explore, combine, and edit data 27 00:01:13,000 --> 00:01:16,000 and really be comfortable using some of the most common 28 00:01:16,000 --> 00:01:20,000 and valuable data transformation tools and techniques. 29 00:01:20,000 --> 00:01:21,000 So one quick thing to highlight here, 30 00:01:21,000 --> 00:01:23,000 please make sure to follow along carefully 31 00:01:23,000 --> 00:01:25,000 with each step in this section 32 00:01:25,000 --> 00:01:28,000 and don't skip over any of the assignments. 33 00:01:28,000 --> 00:01:31,000 The data that we import and clean 34 00:01:31,000 --> 00:01:32,000 throughout this section will be added 35 00:01:32,000 --> 00:01:35,000 into our data model and eventually be used 36 00:01:35,000 --> 00:01:38,000 to build our client facing reports and dashboards. 37 00:01:38,000 --> 00:01:41,000 All right, so with that, let's get started. 3060

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